Using Keras to Build and Train Neural Networks¶
In this notebook we will use a neural network to predict diabetes using the Pima Diabetes Dataset. We will start by training a Random Forest to get a performance baseline. Then we will use the Keras package to quickly build and train a neural network and compare the performance. We will see how different network structures affect the performance, training time, and level of overfitting (or underfitting).
UCI Pima Diabetes Dataset¶
- UCI ML Repositiory (http://archive.ics.uci.edu/ml/datasets/Pima+Indians+Diabetes)
Attributes: (all numeric-valued)¶
- Number of times pregnant
- Plasma glucose concentration a 2 hours in an oral glucose tolerance test
- Diastolic blood pressure (mm Hg)
- Triceps skin fold thickness (mm)
- 2-Hour serum insulin (mu U/ml)
- Body mass index (weight in kg/(height in m)^2)
- Diabetes pedigree function
- Age (years)
- Class variable (0 or 1)
The UCI Pima Diabetes Dataset which has 8 numerical predictors and a binary outcome.
In [1]:
#Preliminaries
from __future__ import absolute_import, division, print_function # Python 2/3 compatibility
import warnings
warnings.filterwarnings("ignore")
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import confusion_matrix, precision_recall_curve, roc_auc_score, roc_curve, accuracy_score
from sklearn.ensemble import RandomForestClassifier
import seaborn as sns
%matplotlib inline
In [2]:
## Import Keras objects for Deep Learning
from keras.models import Sequential, K
from keras.layers import Input, Dense, Flatten, Dropout, BatchNormalization
from keras.optimizers import Adam, SGD, RMSprop
Using TensorFlow backend.
In [3]:
## Load in the data set (Internet Access needed)
#url = "http://archive.ics.uci.edu/ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data"
url = r"C:\Users\byamu\Downloads\pimaindiansdiabetescsv\pima-indians-diabetes.csv"
names = ["times_pregnant", "glucose_tolerance_test", "blood_pressure", "skin_thickness", "insulin",
"bmi", "pedigree_function", "age", "has_diabetes"]
diabetes_df = pd.read_csv(url, names=names)
In [4]:
# Take a peek at the data -- if there are lots of "NaN" you may have internet connectivity issues
print(diabetes_df.shape)
diabetes_df.sample(5)
(768, 9)
Out[4]:
| times_pregnant | glucose_tolerance_test | blood_pressure | skin_thickness | insulin | bmi | pedigree_function | age | has_diabetes | |
|---|---|---|---|---|---|---|---|---|---|
| 183 | 5 | 73 | 60 | 0 | 0 | 26.8 | 0.268 | 27 | 0 |
| 638 | 7 | 97 | 76 | 32 | 91 | 40.9 | 0.871 | 32 | 1 |
| 491 | 2 | 89 | 90 | 30 | 0 | 33.5 | 0.292 | 42 | 0 |
| 680 | 2 | 56 | 56 | 28 | 45 | 24.2 | 0.332 | 22 | 0 |
| 748 | 3 | 187 | 70 | 22 | 200 | 36.4 | 0.408 | 36 | 1 |
In [5]:
X = diabetes_df.iloc[:, :-1].values
y = diabetes_df["has_diabetes"].values
In [6]:
# Split the data to Train, and Test (75%, 25%)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=11111)
In [7]:
np.mean(y), np.mean(1-y)
Out[7]:
(0.3489583333333333, 0.6510416666666666)
Above, we see that about 35% of the patients in this dataset have diabetes, while 65% do not. This means we can get an accuracy of 65% without any model - just declare that no one has diabetes. We will calculate the ROC-AUC score to evaluate performance of our model, and also look at the accuracy as well to see if we improved upon the 65% accuracy.
Exercise: Get a baseline performance using Random Forest¶
To begin, and get a baseline for classifier performance:
- Train a Random Forest model with 200 trees on the training data.
- Calculate the accuracy and roc_auc_score of the predictions.
In [8]:
## Train the RF Model
rf_model = RandomForestClassifier(n_estimators=200)
rf_model.fit(X_train, y_train)
Out[8]:
RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
max_depth=None, max_features='auto', max_leaf_nodes=None,
min_impurity_decrease=0.0, min_impurity_split=None,
min_samples_leaf=1, min_samples_split=2,
min_weight_fraction_leaf=0.0, n_estimators=200, n_jobs=None,
oob_score=False, random_state=None, verbose=0,
warm_start=False)
In [9]:
# Make predictions on the test set - both "hard" predictions, and the scores (percent of trees voting yes)
y_pred_class_rf = rf_model.predict(X_test)
y_pred_prob_rf = rf_model.predict_proba(X_test)
print('accuracy is {:.3f}'.format(accuracy_score(y_test,y_pred_class_rf)))
print('roc-auc is {:.3f}'.format(roc_auc_score(y_test,y_pred_prob_rf[:,1])))
accuracy is 0.766 roc-auc is 0.828
In [10]:
def plot_roc(y_test, y_pred, model_name):
fpr, tpr, thr = roc_curve(y_test, y_pred)
fig, ax = plt.subplots(figsize=(8, 8))
ax.plot(fpr, tpr, 'k-')
ax.plot([0, 1], [0, 1], 'k--', linewidth=.5) # roc curve for random model
ax.grid(True)
ax.set(title='ROC Curve for {} on PIMA diabetes problem'.format(model_name),
xlim=[-0.01, 1.01], ylim=[-0.01, 1.01])
plot_roc(y_test, y_pred_prob_rf[:, 1], 'RF')
Build a Single Hidden Layer Neural Network¶
We will use the Sequential model to quickly build a neural network. Our first network will be a single layer network. We have 8 variables, so we set the input shape to 8. Let's start by having a single hidden layer with 12 nodes.
In [11]:
## First let's normalize the data
## This aids the training of neural nets by providing numerical stability
## Random Forest does not need this as it finds a split only, as opposed to performing matrix multiplications
normalizer = StandardScaler()
X_train_norm = normalizer.fit_transform(X_train)
X_test_norm = normalizer.transform(X_test)
In [12]:
# Define the Model
# Input size is 8-dimensional
# 1 hidden layer, 12 hidden nodes, sigmoid activation
# Final layer has just one node with a sigmoid activation (standard for binary classification)
model_1 = Sequential([
Dense(12, input_shape=(8,), activation="relu"),
Dense(1, activation="sigmoid")
])
WARNING:tensorflow:From C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer.
In [13]:
# This is a nice tool to view the model you have created and count the parameters
model_1.summary()
_________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_1 (Dense) (None, 12) 108 _________________________________________________________________ dense_2 (Dense) (None, 1) 13 ================================================================= Total params: 121 Trainable params: 121 Non-trainable params: 0 _________________________________________________________________
Comprehension question:¶
Why do we have 121 parameters? Does that make sense?
Let's fit our model for 200 epochs.
In [14]:
# Fit(Train) the Model
# Compile the model with Optimizer, Loss Function and Metrics
# Roc-Auc is not available in Keras as an off the shelf metric yet, so we will skip it here.
model_1.compile(SGD(lr = .003), "binary_crossentropy", metrics=["accuracy"])
run_hist_1 = model_1.fit(X_train_norm, y_train, validation_data=(X_test_norm, y_test), epochs=200)
# the fit function returns the run history.
# It is very convenient, as it contains information about the model fit, iterations etc.
WARNING:tensorflow:From C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. Train on 576 samples, validate on 192 samples Epoch 1/200 576/576 [==============================] - 2s 4ms/step - loss: 0.9456 - acc: 0.3316 - val_loss: 0.9652 - val_acc: 0.3698 Epoch 2/200 576/576 [==============================] - 0s 101us/step - loss: 0.9289 - acc: 0.3420 - val_loss: 0.9486 - val_acc: 0.3698 Epoch 3/200 576/576 [==============================] - 0s 149us/step - loss: 0.9131 - acc: 0.3472 - val_loss: 0.9328 - val_acc: 0.3750 Epoch 4/200 576/576 [==============================] - 0s 102us/step - loss: 0.8983 - acc: 0.3559 - val_loss: 0.9180 - val_acc: 0.3750 Epoch 5/200 576/576 [==============================] - 0s 113us/step - loss: 0.8844 - acc: 0.3663 - val_loss: 0.9040 - val_acc: 0.3802 Epoch 6/200 576/576 [==============================] - 0s 98us/step - loss: 0.8714 - acc: 0.3611 - val_loss: 0.8908 - val_acc: 0.3854 Epoch 7/200 576/576 [==============================] - 0s 96us/step - loss: 0.8590 - acc: 0.3681 - val_loss: 0.8783 - val_acc: 0.4010 Epoch 8/200 576/576 [==============================] - 0s 87us/step - loss: 0.8472 - acc: 0.3889 - val_loss: 0.8665 - val_acc: 0.4010 Epoch 9/200 576/576 [==============================] - 0s 94us/step - loss: 0.8360 - acc: 0.4010 - val_loss: 0.8552 - val_acc: 0.4115 Epoch 10/200 576/576 [==============================] - 0s 113us/step - loss: 0.8254 - acc: 0.4097 - val_loss: 0.8445 - val_acc: 0.4115 Epoch 11/200 576/576 [==============================] - 0s 104us/step - loss: 0.8154 - acc: 0.4184 - val_loss: 0.8343 - val_acc: 0.4115 Epoch 12/200 576/576 [==============================] - 0s 107us/step - loss: 0.8058 - acc: 0.4219 - val_loss: 0.8246 - val_acc: 0.4167 Epoch 13/200 576/576 [==============================] - 0s 103us/step - loss: 0.7968 - acc: 0.4323 - val_loss: 0.8153 - val_acc: 0.4323 Epoch 14/200 576/576 [==============================] - 0s 116us/step - loss: 0.7881 - acc: 0.4392 - val_loss: 0.8064 - val_acc: 0.4323 Epoch 15/200 576/576 [==============================] - 0s 108us/step - loss: 0.7798 - acc: 0.4549 - val_loss: 0.7978 - val_acc: 0.4427 Epoch 16/200 576/576 [==============================] - 0s 127us/step - loss: 0.7719 - acc: 0.4705 - val_loss: 0.7897 - val_acc: 0.4479 Epoch 17/200 576/576 [==============================] - 0s 165us/step - loss: 0.7644 - acc: 0.4826 - val_loss: 0.7819 - val_acc: 0.4427 Epoch 18/200 576/576 [==============================] - 0s 103us/step - loss: 0.7571 - acc: 0.4965 - val_loss: 0.7744 - val_acc: 0.4583 Epoch 19/200 576/576 [==============================] - 0s 98us/step - loss: 0.7502 - acc: 0.5139 - val_loss: 0.7672 - val_acc: 0.4948 Epoch 20/200 576/576 [==============================] - 0s 99us/step - loss: 0.7435 - acc: 0.5347 - val_loss: 0.7603 - val_acc: 0.5104 Epoch 21/200 576/576 [==============================] - 0s 101us/step - loss: 0.7371 - acc: 0.5556 - val_loss: 0.7537 - val_acc: 0.5312 Epoch 22/200 576/576 [==============================] - 0s 92us/step - loss: 0.7309 - acc: 0.5781 - val_loss: 0.7473 - val_acc: 0.5521 Epoch 23/200 576/576 [==============================] - 0s 96us/step - loss: 0.7250 - acc: 0.5920 - val_loss: 0.7411 - val_acc: 0.5625 Epoch 24/200 576/576 [==============================] - 0s 90us/step - loss: 0.7193 - acc: 0.5972 - val_loss: 0.7352 - val_acc: 0.5729 Epoch 25/200 576/576 [==============================] - 0s 136us/step - loss: 0.7138 - acc: 0.6007 - val_loss: 0.7295 - val_acc: 0.5833 Epoch 26/200 576/576 [==============================] - 0s 85us/step - loss: 0.7085 - acc: 0.6042 - val_loss: 0.7239 - val_acc: 0.5885 Epoch 27/200 576/576 [==============================] - 0s 87us/step - loss: 0.7034 - acc: 0.6146 - val_loss: 0.7186 - val_acc: 0.5990 Epoch 28/200 576/576 [==============================] - 0s 124us/step - loss: 0.6985 - acc: 0.6163 - val_loss: 0.7135 - val_acc: 0.6146 Epoch 29/200 576/576 [==============================] - 0s 95us/step - loss: 0.6938 - acc: 0.6233 - val_loss: 0.7086 - val_acc: 0.6250 Epoch 30/200 576/576 [==============================] - 0s 98us/step - loss: 0.6892 - acc: 0.6285 - val_loss: 0.7038 - val_acc: 0.6302 Epoch 31/200 576/576 [==============================] - 0s 91us/step - loss: 0.6848 - acc: 0.6285 - val_loss: 0.6992 - val_acc: 0.6458 Epoch 32/200 576/576 [==============================] - 0s 91us/step - loss: 0.6805 - acc: 0.6337 - val_loss: 0.6947 - val_acc: 0.6510 Epoch 33/200 576/576 [==============================] - 0s 109us/step - loss: 0.6763 - acc: 0.6372 - val_loss: 0.6904 - val_acc: 0.6510 Epoch 34/200 576/576 [==============================] - 0s 90us/step - loss: 0.6722 - acc: 0.6389 - val_loss: 0.6862 - val_acc: 0.6510 Epoch 35/200 576/576 [==============================] - 0s 103us/step - loss: 0.6683 - acc: 0.6389 - val_loss: 0.6821 - val_acc: 0.6510 Epoch 36/200 576/576 [==============================] - 0s 96us/step - loss: 0.6644 - acc: 0.6458 - val_loss: 0.6781 - val_acc: 0.6562 Epoch 37/200 576/576 [==============================] - 0s 108us/step - loss: 0.6607 - acc: 0.6476 - val_loss: 0.6742 - val_acc: 0.6667 Epoch 38/200 576/576 [==============================] - 0s 97us/step - loss: 0.6570 - acc: 0.6510 - val_loss: 0.6704 - val_acc: 0.6510 Epoch 39/200 576/576 [==============================] - 0s 139us/step - loss: 0.6535 - acc: 0.6562 - val_loss: 0.6667 - val_acc: 0.6615 Epoch 40/200 576/576 [==============================] - 0s 99us/step - loss: 0.6502 - acc: 0.6597 - val_loss: 0.6632 - val_acc: 0.6667 Epoch 41/200 576/576 [==============================] - 0s 100us/step - loss: 0.6467 - acc: 0.6632 - val_loss: 0.6597 - val_acc: 0.6719 Epoch 42/200 576/576 [==============================] - 0s 89us/step - loss: 0.6434 - acc: 0.6701 - val_loss: 0.6563 - val_acc: 0.6719 Epoch 43/200 576/576 [==============================] - 0s 87us/step - loss: 0.6403 - acc: 0.6719 - val_loss: 0.6530 - val_acc: 0.6771 Epoch 44/200 576/576 [==============================] - 0s 87us/step - loss: 0.6372 - acc: 0.6719 - val_loss: 0.6498 - val_acc: 0.6771 Epoch 45/200 576/576 [==============================] - 0s 87us/step - loss: 0.6342 - acc: 0.6719 - val_loss: 0.6467 - val_acc: 0.6771 Epoch 46/200 576/576 [==============================] - 0s 87us/step - loss: 0.6312 - acc: 0.6771 - val_loss: 0.6436 - val_acc: 0.6771 Epoch 47/200 576/576 [==============================] - 0s 89us/step - loss: 0.6284 - acc: 0.6840 - val_loss: 0.6407 - val_acc: 0.6771 Epoch 48/200 576/576 [==============================] - 0s 85us/step - loss: 0.6256 - acc: 0.6858 - val_loss: 0.6378 - val_acc: 0.6771 Epoch 49/200 576/576 [==============================] - 0s 103us/step - loss: 0.6230 - acc: 0.6875 - val_loss: 0.6351 - val_acc: 0.6771 Epoch 50/200 576/576 [==============================] - 0s 86us/step - loss: 0.6204 - acc: 0.6875 - val_loss: 0.6324 - val_acc: 0.6719 Epoch 51/200 576/576 [==============================] - 0s 104us/step - loss: 0.6178 - acc: 0.6892 - val_loss: 0.6297 - val_acc: 0.6719 Epoch 52/200 576/576 [==============================] - 0s 103us/step - loss: 0.6153 - acc: 0.6875 - val_loss: 0.6272 - val_acc: 0.6719 Epoch 53/200 576/576 [==============================] - 0s 94us/step - loss: 0.6129 - acc: 0.6840 - val_loss: 0.6247 - val_acc: 0.6719 Epoch 54/200 576/576 [==============================] - 0s 96us/step - loss: 0.6105 - acc: 0.6858 - val_loss: 0.6223 - val_acc: 0.6719 Epoch 55/200 576/576 [==============================] - 0s 111us/step - loss: 0.6082 - acc: 0.6840 - val_loss: 0.6199 - val_acc: 0.6771 Epoch 56/200 576/576 [==============================] - 0s 124us/step - loss: 0.6059 - acc: 0.6858 - val_loss: 0.6176 - val_acc: 0.6771 Epoch 57/200 576/576 [==============================] - 0s 125us/step - loss: 0.6036 - acc: 0.6875 - val_loss: 0.6153 - val_acc: 0.6771 Epoch 58/200 576/576 [==============================] - 0s 133us/step - loss: 0.6014 - acc: 0.6892 - val_loss: 0.6130 - val_acc: 0.6771 Epoch 59/200 576/576 [==============================] - 0s 91us/step - loss: 0.5993 - acc: 0.6892 - val_loss: 0.6108 - val_acc: 0.6771 Epoch 60/200 576/576 [==============================] - 0s 81us/step - loss: 0.5972 - acc: 0.6892 - val_loss: 0.6087 - val_acc: 0.6771 Epoch 61/200 576/576 [==============================] - 0s 100us/step - loss: 0.5952 - acc: 0.6910 - val_loss: 0.6066 - val_acc: 0.6771 Epoch 62/200 576/576 [==============================] - 0s 120us/step - loss: 0.5932 - acc: 0.6910 - val_loss: 0.6046 - val_acc: 0.6875 Epoch 63/200 576/576 [==============================] - 0s 93us/step - loss: 0.5912 - acc: 0.6910 - val_loss: 0.6026 - val_acc: 0.6875 Epoch 64/200 576/576 [==============================] - 0s 134us/step - loss: 0.5893 - acc: 0.6892 - val_loss: 0.6006 - val_acc: 0.6875 Epoch 65/200 576/576 [==============================] - 0s 86us/step - loss: 0.5874 - acc: 0.6962 - val_loss: 0.5988 - val_acc: 0.6875 Epoch 66/200 576/576 [==============================] - 0s 125us/step - loss: 0.5856 - acc: 0.6962 - val_loss: 0.5969 - val_acc: 0.6875 Epoch 67/200 576/576 [==============================] - 0s 146us/step - loss: 0.5838 - acc: 0.6962 - val_loss: 0.5951 - val_acc: 0.6927 Epoch 68/200 576/576 [==============================] - 0s 108us/step - loss: 0.5820 - acc: 0.6962 - val_loss: 0.5933 - val_acc: 0.6979 Epoch 69/200 576/576 [==============================] - 0s 119us/step - loss: 0.5802 - acc: 0.6962 - val_loss: 0.5916 - val_acc: 0.6979 Epoch 70/200 576/576 [==============================] - 0s 83us/step - loss: 0.5786 - acc: 0.6962 - val_loss: 0.5899 - val_acc: 0.6979 Epoch 71/200 576/576 [==============================] - 0s 165us/step - loss: 0.5769 - acc: 0.7031 - val_loss: 0.5882 - val_acc: 0.6979 Epoch 72/200 576/576 [==============================] - 0s 81us/step - loss: 0.5752 - acc: 0.7031 - val_loss: 0.5865 - val_acc: 0.6979 Epoch 73/200 576/576 [==============================] - 0s 87us/step - loss: 0.5736 - acc: 0.7031 - val_loss: 0.5849 - val_acc: 0.6979 Epoch 74/200 576/576 [==============================] - 0s 77us/step - loss: 0.5721 - acc: 0.7031 - val_loss: 0.5833 - val_acc: 0.6979 Epoch 75/200 576/576 [==============================] - 0s 81us/step - loss: 0.5705 - acc: 0.7031 - val_loss: 0.5818 - val_acc: 0.7031 Epoch 76/200 576/576 [==============================] - 0s 77us/step - loss: 0.5691 - acc: 0.7049 - val_loss: 0.5802 - val_acc: 0.7083 Epoch 77/200 576/576 [==============================] - 0s 86us/step - loss: 0.5676 - acc: 0.7083 - val_loss: 0.5787 - val_acc: 0.7083 Epoch 78/200 576/576 [==============================] - 0s 98us/step - loss: 0.5661 - acc: 0.7101 - val_loss: 0.5773 - val_acc: 0.7083 Epoch 79/200 576/576 [==============================] - ETA: 0s - loss: 0.5979 - acc: 0.750 - 0s 92us/step - loss: 0.5647 - acc: 0.7118 - val_loss: 0.5758 - val_acc: 0.7083 Epoch 80/200 576/576 [==============================] - 0s 124us/step - loss: 0.5633 - acc: 0.7066 - val_loss: 0.5744 - val_acc: 0.7083 Epoch 81/200 576/576 [==============================] - 0s 109us/step - loss: 0.5619 - acc: 0.7101 - val_loss: 0.5730 - val_acc: 0.7031 Epoch 82/200 576/576 [==============================] - 0s 99us/step - loss: 0.5605 - acc: 0.7118 - val_loss: 0.5717 - val_acc: 0.7083 Epoch 83/200 576/576 [==============================] - 0s 94us/step - loss: 0.5592 - acc: 0.7135 - val_loss: 0.5703 - val_acc: 0.7083 Epoch 84/200 576/576 [==============================] - ETA: 0s - loss: 0.4987 - acc: 0.781 - 0s 96us/step - loss: 0.5579 - acc: 0.7153 - val_loss: 0.5690 - val_acc: 0.7083 Epoch 85/200 576/576 [==============================] - 0s 109us/step - loss: 0.5566 - acc: 0.7135 - val_loss: 0.5677 - val_acc: 0.7083 Epoch 86/200 576/576 [==============================] - 0s 104us/step - loss: 0.5553 - acc: 0.7153 - val_loss: 0.5665 - val_acc: 0.7031 Epoch 87/200 576/576 [==============================] - 0s 108us/step - loss: 0.5541 - acc: 0.7135 - val_loss: 0.5653 - val_acc: 0.7031 Epoch 88/200 576/576 [==============================] - 0s 128us/step - loss: 0.5528 - acc: 0.7170 - val_loss: 0.5641 - val_acc: 0.7031 Epoch 89/200 576/576 [==============================] - 0s 134us/step - loss: 0.5516 - acc: 0.7170 - val_loss: 0.5629 - val_acc: 0.7031 Epoch 90/200 576/576 [==============================] - 0s 88us/step - loss: 0.5504 - acc: 0.7188 - val_loss: 0.5618 - val_acc: 0.7031 Epoch 91/200 576/576 [==============================] - 0s 118us/step - loss: 0.5493 - acc: 0.7188 - val_loss: 0.5606 - val_acc: 0.7031 Epoch 92/200 576/576 [==============================] - 0s 97us/step - loss: 0.5481 - acc: 0.7170 - val_loss: 0.5595 - val_acc: 0.7083 Epoch 93/200 576/576 [==============================] - 0s 83us/step - loss: 0.5470 - acc: 0.7222 - val_loss: 0.5584 - val_acc: 0.7188 Epoch 94/200 576/576 [==============================] - 0s 96us/step - loss: 0.5459 - acc: 0.7240 - val_loss: 0.5574 - val_acc: 0.7188 Epoch 95/200 576/576 [==============================] - 0s 126us/step - loss: 0.5448 - acc: 0.7257 - val_loss: 0.5563 - val_acc: 0.7188 Epoch 96/200 576/576 [==============================] - 0s 93us/step - loss: 0.5437 - acc: 0.7257 - val_loss: 0.5553 - val_acc: 0.7188 Epoch 97/200 576/576 [==============================] - 0s 96us/step - loss: 0.5426 - acc: 0.7274 - val_loss: 0.5543 - val_acc: 0.7188 Epoch 98/200 576/576 [==============================] - 0s 98us/step - loss: 0.5416 - acc: 0.7274 - val_loss: 0.5533 - val_acc: 0.7188 Epoch 99/200 576/576 [==============================] - 0s 93us/step - loss: 0.5406 - acc: 0.7274 - val_loss: 0.5523 - val_acc: 0.7188 Epoch 100/200 576/576 [==============================] - 0s 90us/step - loss: 0.5396 - acc: 0.7257 - val_loss: 0.5514 - val_acc: 0.7188 Epoch 101/200 576/576 [==============================] - 0s 101us/step - loss: 0.5386 - acc: 0.7274 - val_loss: 0.5504 - val_acc: 0.7188 Epoch 102/200 576/576 [==============================] - 0s 106us/step - loss: 0.5376 - acc: 0.7257 - val_loss: 0.5495 - val_acc: 0.7188 Epoch 103/200 576/576 [==============================] - 0s 146us/step - loss: 0.5366 - acc: 0.7309 - val_loss: 0.5486 - val_acc: 0.7188 Epoch 104/200 576/576 [==============================] - 0s 91us/step - loss: 0.5357 - acc: 0.7292 - val_loss: 0.5477 - val_acc: 0.7188 Epoch 105/200 576/576 [==============================] - 0s 92us/step - loss: 0.5347 - acc: 0.7292 - val_loss: 0.5469 - val_acc: 0.7292 Epoch 106/200 576/576 [==============================] - 0s 89us/step - loss: 0.5338 - acc: 0.7292 - val_loss: 0.5460 - val_acc: 0.7292 Epoch 107/200 576/576 [==============================] - 0s 99us/step - loss: 0.5329 - acc: 0.7309 - val_loss: 0.5452 - val_acc: 0.7292 Epoch 108/200 576/576 [==============================] - 0s 115us/step - loss: 0.5320 - acc: 0.7309 - val_loss: 0.5444 - val_acc: 0.7292 Epoch 109/200 576/576 [==============================] - 0s 88us/step - loss: 0.5312 - acc: 0.7326 - val_loss: 0.5436 - val_acc: 0.7292 Epoch 110/200 576/576 [==============================] - 0s 113us/step - loss: 0.5303 - acc: 0.7361 - val_loss: 0.5428 - val_acc: 0.7292 Epoch 111/200 576/576 [==============================] - 0s 106us/step - loss: 0.5294 - acc: 0.7378 - val_loss: 0.5420 - val_acc: 0.7344 Epoch 112/200 576/576 [==============================] - 0s 87us/step - loss: 0.5286 - acc: 0.7378 - val_loss: 0.5413 - val_acc: 0.7344 Epoch 113/200 576/576 [==============================] - 0s 91us/step - loss: 0.5278 - acc: 0.7378 - val_loss: 0.5405 - val_acc: 0.7344 Epoch 114/200 576/576 [==============================] - 0s 99us/step - loss: 0.5270 - acc: 0.7378 - val_loss: 0.5398 - val_acc: 0.7344 Epoch 115/200 576/576 [==============================] - 0s 88us/step - loss: 0.5261 - acc: 0.7413 - val_loss: 0.5391 - val_acc: 0.7396 Epoch 116/200 576/576 [==============================] - 0s 103us/step - loss: 0.5254 - acc: 0.7431 - val_loss: 0.5384 - val_acc: 0.7396 Epoch 117/200 576/576 [==============================] - 0s 114us/step - loss: 0.5246 - acc: 0.7448 - val_loss: 0.5377 - val_acc: 0.7396 Epoch 118/200 576/576 [==============================] - 0s 91us/step - loss: 0.5238 - acc: 0.7448 - val_loss: 0.5370 - val_acc: 0.7344 Epoch 119/200 576/576 [==============================] - 0s 125us/step - loss: 0.5231 - acc: 0.7465 - val_loss: 0.5363 - val_acc: 0.7344 Epoch 120/200 576/576 [==============================] - 0s 126us/step - loss: 0.5223 - acc: 0.7465 - val_loss: 0.5357 - val_acc: 0.7344 Epoch 121/200 576/576 [==============================] - 0s 105us/step - loss: 0.5216 - acc: 0.7465 - val_loss: 0.5350 - val_acc: 0.7344 Epoch 122/200 576/576 [==============================] - 0s 104us/step - loss: 0.5209 - acc: 0.7465 - val_loss: 0.5344 - val_acc: 0.7344 Epoch 123/200 576/576 [==============================] - 0s 98us/step - loss: 0.5202 - acc: 0.7483 - val_loss: 0.5338 - val_acc: 0.7396 Epoch 124/200 576/576 [==============================] - 0s 98us/step - loss: 0.5195 - acc: 0.7483 - val_loss: 0.5331 - val_acc: 0.7396 Epoch 125/200 576/576 [==============================] - 0s 131us/step - loss: 0.5188 - acc: 0.7483 - val_loss: 0.5325 - val_acc: 0.7396 Epoch 126/200 576/576 [==============================] - 0s 132us/step - loss: 0.5182 - acc: 0.7483 - val_loss: 0.5319 - val_acc: 0.7396 Epoch 127/200 576/576 [==============================] - 0s 101us/step - loss: 0.5175 - acc: 0.7483 - val_loss: 0.5313 - val_acc: 0.7344 Epoch 128/200 576/576 [==============================] - 0s 120us/step - loss: 0.5169 - acc: 0.7500 - val_loss: 0.5308 - val_acc: 0.7344 Epoch 129/200 576/576 [==============================] - 0s 98us/step - loss: 0.5162 - acc: 0.7500 - val_loss: 0.5302 - val_acc: 0.7344 Epoch 130/200 576/576 [==============================] - 0s 92us/step - loss: 0.5156 - acc: 0.7517 - val_loss: 0.5296 - val_acc: 0.7344 Epoch 131/200 576/576 [==============================] - 0s 109us/step - loss: 0.5149 - acc: 0.7517 - val_loss: 0.5291 - val_acc: 0.7344 Epoch 132/200 576/576 [==============================] - 0s 109us/step - loss: 0.5144 - acc: 0.7517 - val_loss: 0.5285 - val_acc: 0.7344 Epoch 133/200 576/576 [==============================] - 0s 126us/step - loss: 0.5138 - acc: 0.7517 - val_loss: 0.5280 - val_acc: 0.7344 Epoch 134/200 576/576 [==============================] - 0s 123us/step - loss: 0.5132 - acc: 0.7517 - val_loss: 0.5275 - val_acc: 0.7396 Epoch 135/200 576/576 [==============================] - 0s 99us/step - loss: 0.5126 - acc: 0.7517 - val_loss: 0.5269 - val_acc: 0.7396 Epoch 136/200 576/576 [==============================] - 0s 111us/step - loss: 0.5120 - acc: 0.7517 - val_loss: 0.5264 - val_acc: 0.7396 Epoch 137/200 576/576 [==============================] - 0s 101us/step - loss: 0.5115 - acc: 0.7517 - val_loss: 0.5259 - val_acc: 0.7396 Epoch 138/200 576/576 [==============================] - 0s 105us/step - loss: 0.5109 - acc: 0.7517 - val_loss: 0.5254 - val_acc: 0.7448 Epoch 139/200 576/576 [==============================] - 0s 97us/step - loss: 0.5103 - acc: 0.7517 - val_loss: 0.5249 - val_acc: 0.7448 Epoch 140/200 576/576 [==============================] - 0s 129us/step - loss: 0.5098 - acc: 0.7569 - val_loss: 0.5244 - val_acc: 0.7448 Epoch 141/200 576/576 [==============================] - 0s 98us/step - loss: 0.5092 - acc: 0.7535 - val_loss: 0.5239 - val_acc: 0.7448 Epoch 142/200 576/576 [==============================] - 0s 103us/step - loss: 0.5087 - acc: 0.7569 - val_loss: 0.5235 - val_acc: 0.7500 Epoch 143/200 576/576 [==============================] - 0s 108us/step - loss: 0.5082 - acc: 0.7569 - val_loss: 0.5230 - val_acc: 0.7500 Epoch 144/200 576/576 [==============================] - 0s 111us/step - loss: 0.5076 - acc: 0.7569 - val_loss: 0.5225 - val_acc: 0.7448 Epoch 145/200 576/576 [==============================] - 0s 110us/step - loss: 0.5072 - acc: 0.7587 - val_loss: 0.5221 - val_acc: 0.7448 Epoch 146/200 576/576 [==============================] - 0s 113us/step - loss: 0.5066 - acc: 0.7604 - val_loss: 0.5216 - val_acc: 0.7396 Epoch 147/200 576/576 [==============================] - 0s 113us/step - loss: 0.5061 - acc: 0.7604 - val_loss: 0.5212 - val_acc: 0.7396 Epoch 148/200 576/576 [==============================] - 0s 136us/step - loss: 0.5056 - acc: 0.7587 - val_loss: 0.5208 - val_acc: 0.7396 Epoch 149/200 576/576 [==============================] - 0s 99us/step - loss: 0.5051 - acc: 0.7604 - val_loss: 0.5203 - val_acc: 0.7396 Epoch 150/200 576/576 [==============================] - 0s 106us/step - loss: 0.5047 - acc: 0.7587 - val_loss: 0.5199 - val_acc: 0.7396 Epoch 151/200 576/576 [==============================] - 0s 108us/step - loss: 0.5042 - acc: 0.7587 - val_loss: 0.5195 - val_acc: 0.7396 Epoch 152/200 576/576 [==============================] - 0s 104us/step - loss: 0.5037 - acc: 0.7587 - val_loss: 0.5191 - val_acc: 0.7396 Epoch 153/200 576/576 [==============================] - 0s 101us/step - loss: 0.5032 - acc: 0.7604 - val_loss: 0.5187 - val_acc: 0.7396 Epoch 154/200 576/576 [==============================] - 0s 109us/step - loss: 0.5028 - acc: 0.7622 - val_loss: 0.5184 - val_acc: 0.7396 Epoch 155/200 576/576 [==============================] - 0s 159us/step - loss: 0.5023 - acc: 0.7622 - val_loss: 0.5180 - val_acc: 0.7344 Epoch 156/200 576/576 [==============================] - 0s 107us/step - loss: 0.5019 - acc: 0.7604 - val_loss: 0.5176 - val_acc: 0.7344 Epoch 157/200 576/576 [==============================] - 0s 136us/step - loss: 0.5015 - acc: 0.7587 - val_loss: 0.5173 - val_acc: 0.7344 Epoch 158/200 576/576 [==============================] - 0s 124us/step - loss: 0.5010 - acc: 0.7604 - val_loss: 0.5169 - val_acc: 0.7344 Epoch 159/200 576/576 [==============================] - 0s 110us/step - loss: 0.5006 - acc: 0.7604 - val_loss: 0.5165 - val_acc: 0.7344 Epoch 160/200 576/576 [==============================] - 0s 139us/step - loss: 0.5002 - acc: 0.7604 - val_loss: 0.5162 - val_acc: 0.7344 Epoch 161/200 576/576 [==============================] - 0s 123us/step - loss: 0.4997 - acc: 0.7604 - val_loss: 0.5159 - val_acc: 0.7344 Epoch 162/200 576/576 [==============================] - 0s 109us/step - loss: 0.4993 - acc: 0.7604 - val_loss: 0.5155 - val_acc: 0.7292 Epoch 163/200 576/576 [==============================] - 0s 91us/step - loss: 0.4989 - acc: 0.7639 - val_loss: 0.5152 - val_acc: 0.7292 Epoch 164/200 576/576 [==============================] - 0s 106us/step - loss: 0.4985 - acc: 0.7622 - val_loss: 0.5148 - val_acc: 0.7292 Epoch 165/200 576/576 [==============================] - 0s 96us/step - loss: 0.4981 - acc: 0.7622 - val_loss: 0.5145 - val_acc: 0.7292 Epoch 166/200 576/576 [==============================] - 0s 92us/step - loss: 0.4977 - acc: 0.7639 - val_loss: 0.5142 - val_acc: 0.7292 Epoch 167/200 576/576 [==============================] - ETA: 0s - loss: 0.5052 - acc: 0.687 - 0s 89us/step - loss: 0.4973 - acc: 0.7639 - val_loss: 0.5139 - val_acc: 0.7292 Epoch 168/200 576/576 [==============================] - 0s 92us/step - loss: 0.4969 - acc: 0.7622 - val_loss: 0.5135 - val_acc: 0.7292 Epoch 169/200 576/576 [==============================] - 0s 117us/step - loss: 0.4965 - acc: 0.7639 - val_loss: 0.5132 - val_acc: 0.7292 Epoch 170/200 576/576 [==============================] - 0s 90us/step - loss: 0.4962 - acc: 0.7639 - val_loss: 0.5129 - val_acc: 0.7292 Epoch 171/200 576/576 [==============================] - 0s 91us/step - loss: 0.4958 - acc: 0.7639 - val_loss: 0.5126 - val_acc: 0.7292 Epoch 172/200 576/576 [==============================] - 0s 94us/step - loss: 0.4954 - acc: 0.7639 - val_loss: 0.5123 - val_acc: 0.7292 Epoch 173/200 576/576 [==============================] - 0s 92us/step - loss: 0.4951 - acc: 0.7656 - val_loss: 0.5120 - val_acc: 0.7292 Epoch 174/200 576/576 [==============================] - 0s 124us/step - loss: 0.4947 - acc: 0.7656 - val_loss: 0.5117 - val_acc: 0.7292 Epoch 175/200 576/576 [==============================] - 0s 137us/step - loss: 0.4943 - acc: 0.7656 - val_loss: 0.5114 - val_acc: 0.7292 Epoch 176/200 576/576 [==============================] - 0s 109us/step - loss: 0.4940 - acc: 0.7639 - val_loss: 0.5111 - val_acc: 0.7292 Epoch 177/200 576/576 [==============================] - 0s 132us/step - loss: 0.4936 - acc: 0.7639 - val_loss: 0.5109 - val_acc: 0.7344 Epoch 178/200 576/576 [==============================] - 0s 139us/step - loss: 0.4933 - acc: 0.7656 - val_loss: 0.5106 - val_acc: 0.7344 Epoch 179/200 576/576 [==============================] - 0s 98us/step - loss: 0.4929 - acc: 0.7656 - val_loss: 0.5103 - val_acc: 0.7344 Epoch 180/200 576/576 [==============================] - 0s 116us/step - loss: 0.4926 - acc: 0.7674 - val_loss: 0.5101 - val_acc: 0.7292 Epoch 181/200 576/576 [==============================] - 0s 121us/step - loss: 0.4923 - acc: 0.7656 - val_loss: 0.5098 - val_acc: 0.7292 Epoch 182/200 576/576 [==============================] - 0s 112us/step - loss: 0.4919 - acc: 0.7656 - val_loss: 0.5096 - val_acc: 0.7344 Epoch 183/200 576/576 [==============================] - 0s 140us/step - loss: 0.4916 - acc: 0.7656 - val_loss: 0.5093 - val_acc: 0.7344 Epoch 184/200 576/576 [==============================] - 0s 97us/step - loss: 0.4913 - acc: 0.7656 - val_loss: 0.5091 - val_acc: 0.7344 Epoch 185/200 576/576 [==============================] - 0s 88us/step - loss: 0.4909 - acc: 0.7656 - val_loss: 0.5089 - val_acc: 0.7344 Epoch 186/200 576/576 [==============================] - 0s 90us/step - loss: 0.4906 - acc: 0.7656 - val_loss: 0.5086 - val_acc: 0.7344 Epoch 187/200 576/576 [==============================] - 0s 92us/step - loss: 0.4903 - acc: 0.7656 - val_loss: 0.5084 - val_acc: 0.7396 Epoch 188/200 576/576 [==============================] - 0s 84us/step - loss: 0.4900 - acc: 0.7674 - val_loss: 0.5082 - val_acc: 0.7396 Epoch 189/200 576/576 [==============================] - 0s 90us/step - loss: 0.4897 - acc: 0.7674 - val_loss: 0.5080 - val_acc: 0.7396 Epoch 190/200 576/576 [==============================] - 0s 93us/step - loss: 0.4894 - acc: 0.7674 - val_loss: 0.5078 - val_acc: 0.7448 Epoch 191/200 576/576 [==============================] - 0s 104us/step - loss: 0.4891 - acc: 0.7674 - val_loss: 0.5076 - val_acc: 0.7448 Epoch 192/200 576/576 [==============================] - 0s 103us/step - loss: 0.4888 - acc: 0.7708 - val_loss: 0.5074 - val_acc: 0.7552 Epoch 193/200 576/576 [==============================] - 0s 94us/step - loss: 0.4885 - acc: 0.7708 - val_loss: 0.5072 - val_acc: 0.7552 Epoch 194/200 576/576 [==============================] - 0s 86us/step - loss: 0.4882 - acc: 0.7708 - val_loss: 0.5070 - val_acc: 0.7552 Epoch 195/200 576/576 [==============================] - 0s 103us/step - loss: 0.4879 - acc: 0.7708 - val_loss: 0.5068 - val_acc: 0.7552 Epoch 196/200 576/576 [==============================] - 0s 140us/step - loss: 0.4876 - acc: 0.7708 - val_loss: 0.5066 - val_acc: 0.7552 Epoch 197/200 576/576 [==============================] - 0s 114us/step - loss: 0.4873 - acc: 0.7708 - val_loss: 0.5064 - val_acc: 0.7552 Epoch 198/200 576/576 [==============================] - 0s 153us/step - loss: 0.4871 - acc: 0.7708 - val_loss: 0.5062 - val_acc: 0.7552 Epoch 199/200 576/576 [==============================] - ETA: 0s - loss: 0.4920 - acc: 0.765 - 0s 133us/step - loss: 0.4868 - acc: 0.7708 - val_loss: 0.5060 - val_acc: 0.7552 Epoch 200/200 576/576 [==============================] - 0s 133us/step - loss: 0.4865 - acc: 0.7743 - val_loss: 0.5059 - val_acc: 0.7552
In [15]:
## Like we did for the Random Forest, we generate two kinds of predictions
# One is a hard decision, the other is a probabilitistic score.
y_pred_class_nn_1 = model_1.predict_classes(X_test_norm)
y_pred_prob_nn_1 = model_1.predict(X_test_norm)
In [16]:
# Let's check out the outputs to get a feel for how keras apis work.
y_pred_class_nn_1[:10]
Out[16]:
array([[0],
[1],
[0],
[0],
[0],
[0],
[0],
[0],
[1],
[0]])
In [17]:
y_pred_prob_nn_1[:10]
Out[17]:
array([[0.46282554],
[0.6936019 ],
[0.23778865],
[0.24488184],
[0.27853188],
[0.41694868],
[0.03225446],
[0.36993736],
[0.76904845],
[0.20420143]], dtype=float32)
In [18]:
# Print model performance and plot the roc curve
print('accuracy is {:.3f}'.format(accuracy_score(y_test,y_pred_class_nn_1)))
print('roc-auc is {:.3f}'.format(roc_auc_score(y_test,y_pred_prob_nn_1)))
plot_roc(y_test, y_pred_prob_nn_1, 'NN')
accuracy is 0.755 roc-auc is 0.805
There may be some variation in exact numbers due to randomness, but you should get results in the same ballpark as the Random Forest - between 75% and 85% accuracy, between .8 and .9 for AUC.
Let's look at the run_hist_1 object that was created, specifically its history attribute.
In [19]:
run_hist_1.history.keys()
Out[19]:
dict_keys(['val_loss', 'val_acc', 'loss', 'acc'])
Let's plot the training loss and the validation loss over the different epochs and see how it looks.
In [20]:
fig, ax = plt.subplots()
ax.plot(run_hist_1.history["loss"],'r', marker='.', label="Train Loss")
ax.plot(run_hist_1.history["val_loss"],'b', marker='.', label="Validation Loss")
ax.legend()
Out[20]:
<matplotlib.legend.Legend at 0x2129ec97978>
Looks like the losses are still going down on both the training set and the validation set. This suggests that the model might benefit from further training. Let's train the model a little more and see what happens. Note that it will pick up from where it left off. Train for 1000 more epochs.
In [21]:
## Note that when we call "fit" again, it picks up where it left off
run_hist_1b = model_1.fit(X_train_norm, y_train, validation_data=(X_test_norm, y_test), epochs=1000)
Train on 576 samples, validate on 192 samples Epoch 1/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4721 - acc: 0.7622 - val_loss: 0.5196 - val_acc: 0.7552 Epoch 2/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4718 - acc: 0.7622 - val_loss: 0.5195 - val_acc: 0.7552 Epoch 3/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4716 - acc: 0.7622 - val_loss: 0.5194 - val_acc: 0.7552 Epoch 4/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4715 - acc: 0.7622 - val_loss: 0.5193 - val_acc: 0.7552 Epoch 5/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4713 - acc: 0.7622 - val_loss: 0.5192 - val_acc: 0.7552 Epoch 6/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4711 - acc: 0.7622 - val_loss: 0.5191 - val_acc: 0.7552 Epoch 7/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4708 - acc: 0.7622 - val_loss: 0.5190 - val_acc: 0.7552 Epoch 8/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4706 - acc: 0.7622 - val_loss: 0.5189 - val_acc: 0.7552 Epoch 9/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4704 - acc: 0.7622 - val_loss: 0.5189 - val_acc: 0.7552 Epoch 10/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4702 - acc: 0.7622 - val_loss: 0.5188 - val_acc: 0.7552 Epoch 11/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4700 - acc: 0.7622 - val_loss: 0.5187 - val_acc: 0.7552 Epoch 12/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4698 - acc: 0.7622 - val_loss: 0.5186 - val_acc: 0.7552 Epoch 13/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4696 - acc: 0.7622 - val_loss: 0.5185 - val_acc: 0.7552 Epoch 14/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4694 - acc: 0.7639 - val_loss: 0.5184 - val_acc: 0.7604 Epoch 15/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4693 - acc: 0.7639 - val_loss: 0.5184 - val_acc: 0.7604 Epoch 16/1000 576/576 [==============================] - 0s 102us/step - loss: 0.4691 - acc: 0.7656 - val_loss: 0.5183 - val_acc: 0.7604 Epoch 17/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4689 - acc: 0.7656 - val_loss: 0.5182 - val_acc: 0.7604 Epoch 18/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4687 - acc: 0.7656 - val_loss: 0.5181 - val_acc: 0.7604 Epoch 19/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4685 - acc: 0.7656 - val_loss: 0.5180 - val_acc: 0.7604 Epoch 20/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4683 - acc: 0.7656 - val_loss: 0.5180 - val_acc: 0.7604 Epoch 21/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4681 - acc: 0.7656 - val_loss: 0.5179 - val_acc: 0.7604 Epoch 22/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4680 - acc: 0.7656 - val_loss: 0.5178 - val_acc: 0.7604 Epoch 23/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4678 - acc: 0.7656 - val_loss: 0.5178 - val_acc: 0.7604 Epoch 24/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4676 - acc: 0.7656 - val_loss: 0.5177 - val_acc: 0.7604 Epoch 25/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4674 - acc: 0.7674 - val_loss: 0.5176 - val_acc: 0.7604 Epoch 26/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4672 - acc: 0.7674 - val_loss: 0.5176 - val_acc: 0.7656 Epoch 27/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4671 - acc: 0.7674 - val_loss: 0.5175 - val_acc: 0.7656 Epoch 28/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4669 - acc: 0.7674 - val_loss: 0.5174 - val_acc: 0.7656 Epoch 29/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4667 - acc: 0.7674 - val_loss: 0.5174 - val_acc: 0.7656 Epoch 30/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4666 - acc: 0.7674 - val_loss: 0.5173 - val_acc: 0.7656 Epoch 31/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4664 - acc: 0.7674 - val_loss: 0.5173 - val_acc: 0.7656 Epoch 32/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4662 - acc: 0.7674 - val_loss: 0.5172 - val_acc: 0.7656 Epoch 33/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4660 - acc: 0.7691 - val_loss: 0.5171 - val_acc: 0.7656 Epoch 34/1000 576/576 [==============================] - 0s 66us/step - loss: 0.4659 - acc: 0.7691 - val_loss: 0.5171 - val_acc: 0.7656 Epoch 35/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4657 - acc: 0.7691 - val_loss: 0.5170 - val_acc: 0.7656 Epoch 36/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4655 - acc: 0.7674 - val_loss: 0.5170 - val_acc: 0.7656 Epoch 37/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4653 - acc: 0.7674 - val_loss: 0.5170 - val_acc: 0.7656 Epoch 38/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4652 - acc: 0.7674 - val_loss: 0.5169 - val_acc: 0.7656 Epoch 39/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4650 - acc: 0.7691 - val_loss: 0.5169 - val_acc: 0.7656 Epoch 40/1000 576/576 [==============================] - 0s 64us/step - loss: 0.4648 - acc: 0.7691 - val_loss: 0.5168 - val_acc: 0.7656 Epoch 41/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4647 - acc: 0.7691 - val_loss: 0.5168 - val_acc: 0.7656 Epoch 42/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4645 - acc: 0.7708 - val_loss: 0.5167 - val_acc: 0.7656 Epoch 43/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4643 - acc: 0.7708 - val_loss: 0.5167 - val_acc: 0.7656 Epoch 44/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4642 - acc: 0.7708 - val_loss: 0.5166 - val_acc: 0.7656 Epoch 45/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4640 - acc: 0.7726 - val_loss: 0.5166 - val_acc: 0.7656 Epoch 46/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4638 - acc: 0.7743 - val_loss: 0.5166 - val_acc: 0.7656 Epoch 47/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4637 - acc: 0.7743 - val_loss: 0.5165 - val_acc: 0.7656 Epoch 48/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4635 - acc: 0.7743 - val_loss: 0.5165 - val_acc: 0.7656 Epoch 49/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4634 - acc: 0.7743 - val_loss: 0.5165 - val_acc: 0.7656 Epoch 50/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4632 - acc: 0.7708 - val_loss: 0.5164 - val_acc: 0.7656 Epoch 51/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4630 - acc: 0.7726 - val_loss: 0.5164 - val_acc: 0.7656 Epoch 52/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4629 - acc: 0.7726 - val_loss: 0.5163 - val_acc: 0.7656 Epoch 53/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4628 - acc: 0.7726 - val_loss: 0.5163 - val_acc: 0.7656 Epoch 54/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4626 - acc: 0.7708 - val_loss: 0.5163 - val_acc: 0.7656 Epoch 55/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4625 - acc: 0.7743 - val_loss: 0.5162 - val_acc: 0.7656 Epoch 56/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4623 - acc: 0.7726 - val_loss: 0.5162 - val_acc: 0.7656 Epoch 57/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4622 - acc: 0.7743 - val_loss: 0.5162 - val_acc: 0.7656 Epoch 58/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4620 - acc: 0.7726 - val_loss: 0.5161 - val_acc: 0.7656 Epoch 59/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4619 - acc: 0.7726 - val_loss: 0.5161 - val_acc: 0.7656 Epoch 60/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4617 - acc: 0.7726 - val_loss: 0.5161 - val_acc: 0.7656 Epoch 61/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4616 - acc: 0.7726 - val_loss: 0.5160 - val_acc: 0.7656 Epoch 62/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4615 - acc: 0.7726 - val_loss: 0.5160 - val_acc: 0.7656 Epoch 63/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4613 - acc: 0.7726 - val_loss: 0.5160 - val_acc: 0.7656 Epoch 64/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4612 - acc: 0.7743 - val_loss: 0.5159 - val_acc: 0.7656 Epoch 65/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4610 - acc: 0.7726 - val_loss: 0.5159 - val_acc: 0.7656 Epoch 66/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4609 - acc: 0.7743 - val_loss: 0.5159 - val_acc: 0.7656 Epoch 67/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4607 - acc: 0.7743 - val_loss: 0.5158 - val_acc: 0.7656 Epoch 68/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4606 - acc: 0.7743 - val_loss: 0.5158 - val_acc: 0.7656 Epoch 69/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4605 - acc: 0.7743 - val_loss: 0.5158 - val_acc: 0.7656 Epoch 70/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4603 - acc: 0.7743 - val_loss: 0.5158 - val_acc: 0.7656 Epoch 71/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4602 - acc: 0.7726 - val_loss: 0.5157 - val_acc: 0.7656 Epoch 72/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4601 - acc: 0.7760 - val_loss: 0.5157 - val_acc: 0.7656 Epoch 73/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4599 - acc: 0.7760 - val_loss: 0.5157 - val_acc: 0.7656 Epoch 74/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4598 - acc: 0.7760 - val_loss: 0.5156 - val_acc: 0.7656 Epoch 75/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4597 - acc: 0.7778 - val_loss: 0.5156 - val_acc: 0.7604 Epoch 76/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4595 - acc: 0.7795 - val_loss: 0.5156 - val_acc: 0.7604 Epoch 77/1000 576/576 [==============================] - 0s 66us/step - loss: 0.4594 - acc: 0.7795 - val_loss: 0.5155 - val_acc: 0.7604 Epoch 78/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4593 - acc: 0.7795 - val_loss: 0.5155 - val_acc: 0.7604 Epoch 79/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4591 - acc: 0.7795 - val_loss: 0.5155 - val_acc: 0.7604 Epoch 80/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4590 - acc: 0.7795 - val_loss: 0.5155 - val_acc: 0.7604 Epoch 81/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4589 - acc: 0.7795 - val_loss: 0.5154 - val_acc: 0.7604 Epoch 82/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4588 - acc: 0.7778 - val_loss: 0.5154 - val_acc: 0.7604 Epoch 83/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4586 - acc: 0.7778 - val_loss: 0.5154 - val_acc: 0.7604 Epoch 84/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4585 - acc: 0.7778 - val_loss: 0.5153 - val_acc: 0.7604 Epoch 85/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4584 - acc: 0.7778 - val_loss: 0.5153 - val_acc: 0.7604 Epoch 86/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4582 - acc: 0.7778 - val_loss: 0.5153 - val_acc: 0.7604 Epoch 87/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4581 - acc: 0.7778 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 88/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4580 - acc: 0.7778 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 89/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4578 - acc: 0.7778 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 90/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4577 - acc: 0.7778 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 91/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4576 - acc: 0.7778 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 92/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4574 - acc: 0.7778 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 93/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4573 - acc: 0.7778 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 94/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4572 - acc: 0.7778 - val_loss: 0.5150 - val_acc: 0.7656 Epoch 95/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4570 - acc: 0.7778 - val_loss: 0.5150 - val_acc: 0.7656 Epoch 96/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4569 - acc: 0.7778 - val_loss: 0.5150 - val_acc: 0.7656 Epoch 97/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4568 - acc: 0.7778 - val_loss: 0.5149 - val_acc: 0.7656 Epoch 98/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4566 - acc: 0.7778 - val_loss: 0.5149 - val_acc: 0.7656 Epoch 99/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4565 - acc: 0.7778 - val_loss: 0.5149 - val_acc: 0.7656 Epoch 100/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4563 - acc: 0.7778 - val_loss: 0.5148 - val_acc: 0.7708 Epoch 101/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4562 - acc: 0.7778 - val_loss: 0.5148 - val_acc: 0.7708 Epoch 102/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4561 - acc: 0.7778 - val_loss: 0.5148 - val_acc: 0.7708 Epoch 103/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4559 - acc: 0.7778 - val_loss: 0.5148 - val_acc: 0.7708 Epoch 104/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4558 - acc: 0.7795 - val_loss: 0.5147 - val_acc: 0.7708 Epoch 105/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4557 - acc: 0.7778 - val_loss: 0.5147 - val_acc: 0.7708 Epoch 106/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4555 - acc: 0.7812 - val_loss: 0.5147 - val_acc: 0.7708 Epoch 107/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4554 - acc: 0.7812 - val_loss: 0.5146 - val_acc: 0.7708 Epoch 108/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4553 - acc: 0.7812 - val_loss: 0.5146 - val_acc: 0.7708 Epoch 109/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4552 - acc: 0.7830 - val_loss: 0.5146 - val_acc: 0.7708 Epoch 110/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4550 - acc: 0.7830 - val_loss: 0.5145 - val_acc: 0.7708 Epoch 111/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4549 - acc: 0.7812 - val_loss: 0.5145 - val_acc: 0.7656 Epoch 112/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4548 - acc: 0.7830 - val_loss: 0.5145 - val_acc: 0.7656 Epoch 113/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4546 - acc: 0.7830 - val_loss: 0.5144 - val_acc: 0.7656 Epoch 114/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4545 - acc: 0.7830 - val_loss: 0.5144 - val_acc: 0.7656 Epoch 115/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4544 - acc: 0.7830 - val_loss: 0.5144 - val_acc: 0.7656 Epoch 116/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4543 - acc: 0.7830 - val_loss: 0.5143 - val_acc: 0.7656 Epoch 117/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4541 - acc: 0.7830 - val_loss: 0.5143 - val_acc: 0.7656 Epoch 118/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4540 - acc: 0.7830 - val_loss: 0.5143 - val_acc: 0.7656 Epoch 119/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4539 - acc: 0.7830 - val_loss: 0.5142 - val_acc: 0.7656 Epoch 120/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4538 - acc: 0.7847 - val_loss: 0.5142 - val_acc: 0.7656 Epoch 121/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4537 - acc: 0.7847 - val_loss: 0.5142 - val_acc: 0.7656 Epoch 122/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4535 - acc: 0.7865 - val_loss: 0.5141 - val_acc: 0.7656 Epoch 123/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4534 - acc: 0.7865 - val_loss: 0.5141 - val_acc: 0.7656 Epoch 124/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4533 - acc: 0.7865 - val_loss: 0.5141 - val_acc: 0.7656 Epoch 125/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4532 - acc: 0.7865 - val_loss: 0.5140 - val_acc: 0.7656 Epoch 126/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4531 - acc: 0.7865 - val_loss: 0.5140 - val_acc: 0.7656 Epoch 127/1000 576/576 [==============================] - 0s 125us/step - loss: 0.4530 - acc: 0.7865 - val_loss: 0.5140 - val_acc: 0.7656 Epoch 128/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4528 - acc: 0.7865 - val_loss: 0.5139 - val_acc: 0.7656 Epoch 129/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4527 - acc: 0.7865 - val_loss: 0.5139 - val_acc: 0.7656 Epoch 130/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4526 - acc: 0.7865 - val_loss: 0.5138 - val_acc: 0.7656 Epoch 131/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4525 - acc: 0.7865 - val_loss: 0.5138 - val_acc: 0.7656 Epoch 132/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4524 - acc: 0.7865 - val_loss: 0.5138 - val_acc: 0.7656 Epoch 133/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4523 - acc: 0.7865 - val_loss: 0.5137 - val_acc: 0.7656 Epoch 134/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4522 - acc: 0.7865 - val_loss: 0.5137 - val_acc: 0.7656 Epoch 135/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4520 - acc: 0.7865 - val_loss: 0.5137 - val_acc: 0.7656 Epoch 136/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4519 - acc: 0.7865 - val_loss: 0.5136 - val_acc: 0.7656 Epoch 137/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4518 - acc: 0.7865 - val_loss: 0.5136 - val_acc: 0.7656 Epoch 138/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4518 - acc: 0.7865 - val_loss: 0.5135 - val_acc: 0.7656 Epoch 139/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4516 - acc: 0.7865 - val_loss: 0.5135 - val_acc: 0.7656 Epoch 140/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4516 - acc: 0.7865 - val_loss: 0.5134 - val_acc: 0.7656 Epoch 141/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4514 - acc: 0.7865 - val_loss: 0.5134 - val_acc: 0.7656 Epoch 142/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4513 - acc: 0.7865 - val_loss: 0.5134 - val_acc: 0.7656 Epoch 143/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4512 - acc: 0.7865 - val_loss: 0.5133 - val_acc: 0.7656 Epoch 144/1000 576/576 [==============================] - 0s 106us/step - loss: 0.4511 - acc: 0.7865 - val_loss: 0.5133 - val_acc: 0.7656 Epoch 145/1000 576/576 [==============================] - 0s 111us/step - loss: 0.4510 - acc: 0.7865 - val_loss: 0.5132 - val_acc: 0.7656 Epoch 146/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4509 - acc: 0.7865 - val_loss: 0.5132 - val_acc: 0.7656 Epoch 147/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4508 - acc: 0.7865 - val_loss: 0.5131 - val_acc: 0.7656 Epoch 148/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4507 - acc: 0.7865 - val_loss: 0.5131 - val_acc: 0.7656 Epoch 149/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4506 - acc: 0.7865 - val_loss: 0.5130 - val_acc: 0.7656 Epoch 150/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4505 - acc: 0.7865 - val_loss: 0.5130 - val_acc: 0.7708 Epoch 151/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4504 - acc: 0.7865 - val_loss: 0.5129 - val_acc: 0.7708 Epoch 152/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4503 - acc: 0.7865 - val_loss: 0.5129 - val_acc: 0.7708 Epoch 153/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4502 - acc: 0.7865 - val_loss: 0.5129 - val_acc: 0.7708 Epoch 154/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4501 - acc: 0.7865 - val_loss: 0.5128 - val_acc: 0.7708 Epoch 155/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4500 - acc: 0.7865 - val_loss: 0.5128 - val_acc: 0.7708 Epoch 156/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4499 - acc: 0.7865 - val_loss: 0.5127 - val_acc: 0.7708 Epoch 157/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4498 - acc: 0.7865 - val_loss: 0.5127 - val_acc: 0.7708 Epoch 158/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4497 - acc: 0.7865 - val_loss: 0.5126 - val_acc: 0.7708 Epoch 159/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4496 - acc: 0.7865 - val_loss: 0.5126 - val_acc: 0.7708 Epoch 160/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4495 - acc: 0.7865 - val_loss: 0.5126 - val_acc: 0.7708 Epoch 161/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4494 - acc: 0.7865 - val_loss: 0.5125 - val_acc: 0.7708 Epoch 162/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4493 - acc: 0.7882 - val_loss: 0.5125 - val_acc: 0.7708 Epoch 163/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4492 - acc: 0.7865 - val_loss: 0.5124 - val_acc: 0.7708 Epoch 164/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4491 - acc: 0.7882 - val_loss: 0.5124 - val_acc: 0.7708 Epoch 165/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4490 - acc: 0.7865 - val_loss: 0.5124 - val_acc: 0.7708 Epoch 166/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4489 - acc: 0.7882 - val_loss: 0.5123 - val_acc: 0.7708 Epoch 167/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4488 - acc: 0.7882 - val_loss: 0.5123 - val_acc: 0.7708 Epoch 168/1000 576/576 [==============================] - 0s 64us/step - loss: 0.4487 - acc: 0.7882 - val_loss: 0.5122 - val_acc: 0.7708 Epoch 169/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4486 - acc: 0.7882 - val_loss: 0.5122 - val_acc: 0.7708 Epoch 170/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4485 - acc: 0.7882 - val_loss: 0.5122 - val_acc: 0.7708 Epoch 171/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4484 - acc: 0.7865 - val_loss: 0.5121 - val_acc: 0.7708 Epoch 172/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4484 - acc: 0.7865 - val_loss: 0.5121 - val_acc: 0.7708 Epoch 173/1000 576/576 [==============================] - 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val_loss: 0.5105 - val_acc: 0.7604 Epoch 226/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4440 - acc: 0.7882 - val_loss: 0.5105 - val_acc: 0.7604 Epoch 227/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4439 - acc: 0.7882 - val_loss: 0.5105 - val_acc: 0.7604 Epoch 228/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4439 - acc: 0.7882 - val_loss: 0.5105 - val_acc: 0.7604 Epoch 229/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4438 - acc: 0.7882 - val_loss: 0.5104 - val_acc: 0.7604 Epoch 230/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4438 - acc: 0.7882 - val_loss: 0.5104 - val_acc: 0.7604 Epoch 231/1000 576/576 [==============================] - 0s 66us/step - loss: 0.4437 - acc: 0.7882 - val_loss: 0.5104 - val_acc: 0.7604 Epoch 232/1000 576/576 [==============================] - 0s 66us/step - loss: 0.4436 - acc: 0.7882 - val_loss: 0.5104 - val_acc: 0.7604 Epoch 233/1000 576/576 [==============================] - 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val_loss: 0.5102 - val_acc: 0.7604 Epoch 241/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4430 - acc: 0.7865 - val_loss: 0.5102 - val_acc: 0.7604 Epoch 242/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4430 - acc: 0.7865 - val_loss: 0.5101 - val_acc: 0.7604 Epoch 243/1000 576/576 [==============================] - 0s 64us/step - loss: 0.4429 - acc: 0.7865 - val_loss: 0.5101 - val_acc: 0.7604 Epoch 244/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4428 - acc: 0.7865 - val_loss: 0.5101 - val_acc: 0.7604 Epoch 245/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4428 - acc: 0.7865 - val_loss: 0.5101 - val_acc: 0.7604 Epoch 246/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4427 - acc: 0.7865 - val_loss: 0.5100 - val_acc: 0.7604 Epoch 247/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4426 - acc: 0.7865 - val_loss: 0.5100 - val_acc: 0.7604 Epoch 248/1000 576/576 [==============================] - 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val_loss: 0.5098 - val_acc: 0.7604 Epoch 256/1000 576/576 [==============================] - 0s 99us/step - loss: 0.4421 - acc: 0.7882 - val_loss: 0.5098 - val_acc: 0.7604 Epoch 257/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4420 - acc: 0.7882 - val_loss: 0.5098 - val_acc: 0.7604 Epoch 258/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4420 - acc: 0.7899 - val_loss: 0.5098 - val_acc: 0.7604 Epoch 259/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4419 - acc: 0.7899 - val_loss: 0.5098 - val_acc: 0.7604 Epoch 260/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4418 - acc: 0.7899 - val_loss: 0.5097 - val_acc: 0.7604 Epoch 261/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4417 - acc: 0.7899 - val_loss: 0.5097 - val_acc: 0.7604 Epoch 262/1000 576/576 [==============================] - 0s 95us/step - loss: 0.4417 - acc: 0.7882 - val_loss: 0.5097 - val_acc: 0.7604 Epoch 263/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4416 - acc: 0.7882 - val_loss: 0.5097 - val_acc: 0.7604 Epoch 264/1000 576/576 [==============================] - 0s 95us/step - loss: 0.4415 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7604 Epoch 265/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4415 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7604 Epoch 266/1000 576/576 [==============================] - 0s 99us/step - loss: 0.4414 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7604 Epoch 267/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4413 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7604 Epoch 268/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4412 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7604 Epoch 269/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4412 - acc: 0.7899 - val_loss: 0.5095 - val_acc: 0.7604 Epoch 270/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4411 - acc: 0.7899 - val_loss: 0.5095 - val_acc: 0.7604 Epoch 271/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4410 - acc: 0.7899 - val_loss: 0.5095 - val_acc: 0.7604 Epoch 272/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4410 - acc: 0.7899 - val_loss: 0.5095 - val_acc: 0.7604 Epoch 273/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4409 - acc: 0.7899 - val_loss: 0.5095 - val_acc: 0.7604 Epoch 274/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4408 - acc: 0.7899 - val_loss: 0.5095 - val_acc: 0.7604 Epoch 275/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4408 - acc: 0.7899 - val_loss: 0.5094 - val_acc: 0.7604 Epoch 276/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4407 - acc: 0.7899 - val_loss: 0.5094 - val_acc: 0.7604 Epoch 277/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4406 - acc: 0.7899 - val_loss: 0.5094 - val_acc: 0.7604 Epoch 278/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4406 - acc: 0.7899 - val_loss: 0.5094 - val_acc: 0.7604 Epoch 279/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4405 - acc: 0.7899 - val_loss: 0.5094 - val_acc: 0.7604 Epoch 280/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4404 - acc: 0.7899 - val_loss: 0.5094 - val_acc: 0.7604 Epoch 281/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4404 - acc: 0.7899 - val_loss: 0.5094 - val_acc: 0.7604 Epoch 282/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4403 - acc: 0.7899 - val_loss: 0.5093 - val_acc: 0.7604 Epoch 283/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4402 - acc: 0.7899 - val_loss: 0.5093 - val_acc: 0.7604 Epoch 284/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4402 - acc: 0.7917 - val_loss: 0.5093 - val_acc: 0.7604 Epoch 285/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4401 - acc: 0.7917 - val_loss: 0.5093 - val_acc: 0.7604 Epoch 286/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4400 - acc: 0.7917 - val_loss: 0.5093 - val_acc: 0.7604 Epoch 287/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4400 - acc: 0.7917 - val_loss: 0.5093 - val_acc: 0.7604 Epoch 288/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4399 - acc: 0.7917 - val_loss: 0.5093 - val_acc: 0.7604 Epoch 289/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4398 - acc: 0.7899 - val_loss: 0.5093 - val_acc: 0.7604 Epoch 290/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4397 - acc: 0.7917 - val_loss: 0.5093 - val_acc: 0.7604 Epoch 291/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4397 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 292/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4396 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 293/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4396 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 294/1000 576/576 [==============================] - ETA: 0s - loss: 0.3637 - acc: 0.875 - 0s 78us/step - loss: 0.4395 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 295/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4395 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 296/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4394 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 297/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4393 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 298/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4392 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 299/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4392 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 300/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4391 - acc: 0.7899 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 301/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4391 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 302/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4390 - acc: 0.7934 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 303/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4389 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 304/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4389 - acc: 0.7934 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 305/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4388 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 306/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4388 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 307/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4387 - acc: 0.7934 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 308/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4386 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 309/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4385 - acc: 0.7934 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 310/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4385 - acc: 0.7934 - val_loss: 0.5091 - val_acc: 0.7604 Epoch 311/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4384 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 312/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4384 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 313/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4383 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7604 Epoch 314/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4382 - acc: 0.7917 - val_loss: 0.5091 - val_acc: 0.7604 Epoch 315/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4382 - acc: 0.7917 - val_loss: 0.5091 - val_acc: 0.7604 Epoch 316/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4382 - acc: 0.7917 - val_loss: 0.5091 - val_acc: 0.7552 Epoch 317/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4381 - acc: 0.7917 - val_loss: 0.5091 - val_acc: 0.7552 Epoch 318/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4380 - acc: 0.7917 - val_loss: 0.5091 - val_acc: 0.7552 Epoch 319/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4380 - acc: 0.7917 - val_loss: 0.5091 - val_acc: 0.7552 Epoch 320/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4379 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 321/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4379 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 322/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4377 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 323/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4377 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 324/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4377 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 325/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4376 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 326/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4376 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 327/1000 576/576 [==============================] - 0s 101us/step - loss: 0.4375 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 328/1000 576/576 [==============================] - 0s 101us/step - loss: 0.4374 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 329/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4374 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 330/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4373 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 331/1000 576/576 [==============================] - 0s 101us/step - loss: 0.4373 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 332/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4372 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 333/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4372 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 334/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4371 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 335/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4370 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 336/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4370 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 337/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4369 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 338/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4369 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 339/1000 576/576 [==============================] - 0s 66us/step - loss: 0.4368 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 340/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4368 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 341/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4367 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 342/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4367 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 343/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4366 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 344/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4366 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 345/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4365 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 346/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4364 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 347/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4364 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 348/1000 576/576 [==============================] - 0s 97us/step - loss: 0.4363 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 349/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4363 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 350/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4362 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 351/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4362 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 352/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4361 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 353/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4361 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 354/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4360 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 355/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4360 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 356/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4359 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 357/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4358 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 358/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4358 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 359/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4357 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 360/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4357 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 361/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4356 - acc: 0.7917 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 362/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4356 - acc: 0.7899 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 363/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4355 - acc: 0.7899 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 364/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4355 - acc: 0.7899 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 365/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4354 - acc: 0.7899 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 366/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4354 - acc: 0.7899 - val_loss: 0.5092 - val_acc: 0.7552 Epoch 367/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4353 - acc: 0.7899 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 368/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4352 - acc: 0.7899 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 369/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4352 - acc: 0.7899 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 370/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4351 - acc: 0.7899 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 371/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4351 - acc: 0.7899 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 372/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4351 - acc: 0.7917 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 373/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4350 - acc: 0.7899 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 374/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4349 - acc: 0.7899 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 375/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4349 - acc: 0.7899 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 376/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4349 - acc: 0.7917 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 377/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4348 - acc: 0.7899 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 378/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4347 - acc: 0.7917 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 379/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4347 - acc: 0.7899 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 380/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4347 - acc: 0.7917 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 381/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4346 - acc: 0.7899 - val_loss: 0.5093 - val_acc: 0.7552 Epoch 382/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4346 - acc: 0.7917 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 383/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4345 - acc: 0.7917 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 384/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4345 - acc: 0.7917 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 385/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4345 - acc: 0.7917 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 386/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4344 - acc: 0.7917 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 387/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4343 - acc: 0.7899 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 388/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4343 - acc: 0.7917 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 389/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4342 - acc: 0.7917 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 390/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4342 - acc: 0.7917 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 391/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4341 - acc: 0.7882 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 392/1000 576/576 [==============================] - 0s 64us/step - loss: 0.4341 - acc: 0.7899 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 393/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4340 - acc: 0.7882 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 394/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4340 - acc: 0.7882 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 395/1000 576/576 [==============================] - 0s 95us/step - loss: 0.4339 - acc: 0.7899 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 396/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4339 - acc: 0.7882 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 397/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4338 - acc: 0.7882 - val_loss: 0.5094 - val_acc: 0.7552 Epoch 398/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4338 - acc: 0.7882 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 399/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4337 - acc: 0.7882 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 400/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4337 - acc: 0.7882 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 401/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4336 - acc: 0.7882 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 402/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4336 - acc: 0.7882 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 403/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4336 - acc: 0.7882 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 404/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4335 - acc: 0.7882 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 405/1000 576/576 [==============================] - 0s 191us/step - loss: 0.4335 - acc: 0.7882 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 406/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4334 - acc: 0.7899 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 407/1000 576/576 [==============================] - 0s 66us/step - loss: 0.4334 - acc: 0.7899 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 408/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4333 - acc: 0.7882 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 409/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4333 - acc: 0.7899 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 410/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4332 - acc: 0.7899 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 411/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4332 - acc: 0.7899 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 412/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4331 - acc: 0.7899 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 413/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4331 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 414/1000 576/576 [==============================] - 0s 66us/step - loss: 0.4330 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 415/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4330 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 416/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4329 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 417/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4329 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 418/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4328 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 419/1000 576/576 [==============================] - 0s 62us/step - loss: 0.4328 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 420/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4327 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 421/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4327 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 422/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4326 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 423/1000 576/576 [==============================] - 0s 95us/step - loss: 0.4326 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 424/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4326 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 425/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4325 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 426/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4325 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 427/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4324 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 428/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4324 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 429/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4323 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 430/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4323 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 431/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4322 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 432/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4322 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 433/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4322 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 434/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4321 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 435/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4320 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 436/1000 576/576 [==============================] - 0s 66us/step - loss: 0.4320 - acc: 0.7917 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 437/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4320 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 438/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4319 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 439/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4319 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 440/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4318 - acc: 0.7899 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 441/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4318 - acc: 0.7917 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 442/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4317 - acc: 0.7917 - val_loss: 0.5096 - val_acc: 0.7552 Epoch 443/1000 576/576 [==============================] - 0s 97us/step - loss: 0.4317 - acc: 0.7899 - val_loss: 0.5097 - val_acc: 0.7552 Epoch 444/1000 576/576 [==============================] - 0s 95us/step - loss: 0.4316 - acc: 0.7899 - val_loss: 0.5097 - val_acc: 0.7552 Epoch 445/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4316 - acc: 0.7899 - val_loss: 0.5097 - val_acc: 0.7552 Epoch 446/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4316 - acc: 0.7917 - val_loss: 0.5097 - val_acc: 0.7552 Epoch 447/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4315 - acc: 0.7917 - val_loss: 0.5097 - val_acc: 0.7552 Epoch 448/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4315 - acc: 0.7917 - val_loss: 0.5097 - val_acc: 0.7552 Epoch 449/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4315 - acc: 0.7899 - val_loss: 0.5097 - val_acc: 0.7552 Epoch 450/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4314 - acc: 0.7917 - val_loss: 0.5097 - val_acc: 0.7552 Epoch 451/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4314 - acc: 0.7917 - val_loss: 0.5097 - val_acc: 0.7552 Epoch 452/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4313 - acc: 0.7917 - val_loss: 0.5097 - val_acc: 0.7552 Epoch 453/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4313 - acc: 0.7934 - val_loss: 0.5097 - val_acc: 0.7552 Epoch 454/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4313 - acc: 0.7917 - val_loss: 0.5097 - val_acc: 0.7552 Epoch 455/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4312 - acc: 0.7934 - val_loss: 0.5098 - val_acc: 0.7552 Epoch 456/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4312 - acc: 0.7934 - val_loss: 0.5098 - val_acc: 0.7552 Epoch 457/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4311 - acc: 0.7934 - val_loss: 0.5098 - val_acc: 0.7552 Epoch 458/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4311 - acc: 0.7934 - val_loss: 0.5098 - val_acc: 0.7552 Epoch 459/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4311 - acc: 0.7951 - val_loss: 0.5098 - val_acc: 0.7552 Epoch 460/1000 576/576 [==============================] - 0s 64us/step - loss: 0.4310 - acc: 0.7934 - val_loss: 0.5098 - val_acc: 0.7552 Epoch 461/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4310 - acc: 0.7951 - val_loss: 0.5098 - val_acc: 0.7552 Epoch 462/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4309 - acc: 0.7951 - val_loss: 0.5098 - val_acc: 0.7552 Epoch 463/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4309 - acc: 0.7951 - val_loss: 0.5098 - val_acc: 0.7552 Epoch 464/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4308 - acc: 0.7934 - val_loss: 0.5098 - val_acc: 0.7552 Epoch 465/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4308 - acc: 0.7934 - val_loss: 0.5098 - val_acc: 0.7552 Epoch 466/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4308 - acc: 0.7951 - val_loss: 0.5098 - val_acc: 0.7552 Epoch 467/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4307 - acc: 0.7934 - val_loss: 0.5098 - val_acc: 0.7552 Epoch 468/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4307 - acc: 0.7951 - val_loss: 0.5098 - val_acc: 0.7552 Epoch 469/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4306 - acc: 0.7951 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 470/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4306 - acc: 0.7951 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 471/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4306 - acc: 0.7951 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 472/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4305 - acc: 0.7951 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 473/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4305 - acc: 0.7951 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 474/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4305 - acc: 0.7951 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 475/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4304 - acc: 0.7951 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 476/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4304 - acc: 0.7951 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 477/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4303 - acc: 0.7934 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 478/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4303 - acc: 0.7951 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 479/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4303 - acc: 0.7951 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 480/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4302 - acc: 0.7951 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 481/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4302 - acc: 0.7951 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 482/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4302 - acc: 0.7951 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 483/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4301 - acc: 0.7934 - val_loss: 0.5100 - val_acc: 0.7552 Epoch 484/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4300 - acc: 0.7934 - val_loss: 0.5100 - val_acc: 0.7552 Epoch 485/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4300 - acc: 0.7934 - val_loss: 0.5100 - val_acc: 0.7552 Epoch 486/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4300 - acc: 0.7934 - val_loss: 0.5100 - val_acc: 0.7552 Epoch 487/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4300 - acc: 0.7934 - val_loss: 0.5100 - val_acc: 0.7552 Epoch 488/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4299 - acc: 0.7934 - val_loss: 0.5100 - val_acc: 0.7552 Epoch 489/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4299 - acc: 0.7934 - val_loss: 0.5100 - val_acc: 0.7552 Epoch 490/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4298 - acc: 0.7934 - val_loss: 0.5100 - val_acc: 0.7552 Epoch 491/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4298 - acc: 0.7899 - val_loss: 0.5100 - val_acc: 0.7552 Epoch 492/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4298 - acc: 0.7934 - val_loss: 0.5100 - val_acc: 0.7552 Epoch 493/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4297 - acc: 0.7917 - val_loss: 0.5100 - val_acc: 0.7552 Epoch 494/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4297 - acc: 0.7917 - val_loss: 0.5100 - val_acc: 0.7552 Epoch 495/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4296 - acc: 0.7934 - val_loss: 0.5101 - val_acc: 0.7552 Epoch 496/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4296 - acc: 0.7917 - val_loss: 0.5101 - val_acc: 0.7552 Epoch 497/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4296 - acc: 0.7917 - val_loss: 0.5101 - val_acc: 0.7552 Epoch 498/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4295 - acc: 0.7917 - val_loss: 0.5101 - val_acc: 0.7552 Epoch 499/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4295 - acc: 0.7917 - val_loss: 0.5101 - val_acc: 0.7552 Epoch 500/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4294 - acc: 0.7917 - val_loss: 0.5101 - val_acc: 0.7552 Epoch 501/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4294 - acc: 0.7917 - val_loss: 0.5101 - val_acc: 0.7552 Epoch 502/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4293 - acc: 0.7899 - val_loss: 0.5101 - val_acc: 0.7552 Epoch 503/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4293 - acc: 0.7917 - val_loss: 0.5101 - val_acc: 0.7552 Epoch 504/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4293 - acc: 0.7917 - val_loss: 0.5102 - val_acc: 0.7552 Epoch 505/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4293 - acc: 0.7917 - val_loss: 0.5102 - val_acc: 0.7552 Epoch 506/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4292 - acc: 0.7917 - val_loss: 0.5102 - val_acc: 0.7552 Epoch 507/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4292 - acc: 0.7934 - val_loss: 0.5102 - val_acc: 0.7552 Epoch 508/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4291 - acc: 0.7917 - val_loss: 0.5102 - val_acc: 0.7552 Epoch 509/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4291 - acc: 0.7934 - val_loss: 0.5102 - val_acc: 0.7552 Epoch 510/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4291 - acc: 0.7917 - val_loss: 0.5102 - val_acc: 0.7552 Epoch 511/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4290 - acc: 0.7934 - val_loss: 0.5103 - val_acc: 0.7552 Epoch 512/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4290 - acc: 0.7934 - val_loss: 0.5103 - val_acc: 0.7552 Epoch 513/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4289 - acc: 0.7917 - val_loss: 0.5103 - val_acc: 0.7552 Epoch 514/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4289 - acc: 0.7934 - val_loss: 0.5103 - val_acc: 0.7552 Epoch 515/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4289 - acc: 0.7917 - val_loss: 0.5103 - val_acc: 0.7552 Epoch 516/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4288 - acc: 0.7934 - val_loss: 0.5103 - val_acc: 0.7552 Epoch 517/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4288 - acc: 0.7917 - val_loss: 0.5103 - val_acc: 0.7552 Epoch 518/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4288 - acc: 0.7934 - val_loss: 0.5104 - val_acc: 0.7552 Epoch 519/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4287 - acc: 0.7934 - val_loss: 0.5104 - val_acc: 0.7552 Epoch 520/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4287 - acc: 0.7917 - val_loss: 0.5104 - val_acc: 0.7552 Epoch 521/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4286 - acc: 0.7917 - val_loss: 0.5104 - val_acc: 0.7552 Epoch 522/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4286 - acc: 0.7917 - val_loss: 0.5104 - val_acc: 0.7552 Epoch 523/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4286 - acc: 0.7934 - val_loss: 0.5104 - val_acc: 0.7552 Epoch 524/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4285 - acc: 0.7917 - val_loss: 0.5104 - val_acc: 0.7552 Epoch 525/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4285 - acc: 0.7934 - val_loss: 0.5104 - val_acc: 0.7552 Epoch 526/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4284 - acc: 0.7934 - val_loss: 0.5105 - val_acc: 0.7552 Epoch 527/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4284 - acc: 0.7917 - val_loss: 0.5105 - val_acc: 0.7552 Epoch 528/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4284 - acc: 0.7917 - val_loss: 0.5105 - val_acc: 0.7552 Epoch 529/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4283 - acc: 0.7934 - val_loss: 0.5105 - val_acc: 0.7552 Epoch 530/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4283 - acc: 0.7917 - val_loss: 0.5105 - val_acc: 0.7552 Epoch 531/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4283 - acc: 0.7917 - val_loss: 0.5105 - val_acc: 0.7552 Epoch 532/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4282 - acc: 0.7917 - val_loss: 0.5105 - val_acc: 0.7552 Epoch 533/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4282 - acc: 0.7934 - val_loss: 0.5106 - val_acc: 0.7552 Epoch 534/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4282 - acc: 0.7934 - val_loss: 0.5106 - val_acc: 0.7552 Epoch 535/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4281 - acc: 0.7917 - val_loss: 0.5106 - val_acc: 0.7552 Epoch 536/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4281 - acc: 0.7934 - val_loss: 0.5106 - val_acc: 0.7552 Epoch 537/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4280 - acc: 0.7934 - val_loss: 0.5106 - val_acc: 0.7552 Epoch 538/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4280 - acc: 0.7917 - val_loss: 0.5106 - val_acc: 0.7552 Epoch 539/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4280 - acc: 0.7917 - val_loss: 0.5106 - val_acc: 0.7552 Epoch 540/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4279 - acc: 0.7917 - val_loss: 0.5106 - val_acc: 0.7552 Epoch 541/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4279 - acc: 0.7917 - val_loss: 0.5106 - val_acc: 0.7552 Epoch 542/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4278 - acc: 0.7934 - val_loss: 0.5106 - val_acc: 0.7552 Epoch 543/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4278 - acc: 0.7934 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 544/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4278 - acc: 0.7917 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 545/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4277 - acc: 0.7917 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 546/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4277 - acc: 0.7934 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 547/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4276 - acc: 0.7934 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 548/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4276 - acc: 0.7934 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 549/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4275 - acc: 0.7917 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 550/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4275 - acc: 0.7917 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 551/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4275 - acc: 0.7917 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 552/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4274 - acc: 0.7934 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 553/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4274 - acc: 0.7917 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 554/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4274 - acc: 0.7899 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 555/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4273 - acc: 0.7899 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 556/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4273 - acc: 0.7899 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 557/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4272 - acc: 0.7917 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 558/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4272 - acc: 0.7917 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 559/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4272 - acc: 0.7899 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 560/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4271 - acc: 0.7899 - val_loss: 0.5107 - val_acc: 0.7552 Epoch 561/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4271 - acc: 0.7917 - val_loss: 0.5107 - val_acc: 0.7500 Epoch 562/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4271 - acc: 0.7899 - val_loss: 0.5107 - val_acc: 0.7500 Epoch 563/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4270 - acc: 0.7882 - val_loss: 0.5107 - val_acc: 0.7500 Epoch 564/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4270 - acc: 0.7899 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 565/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4269 - acc: 0.7899 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 566/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4269 - acc: 0.7882 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 567/1000 576/576 [==============================] - 0s 66us/step - loss: 0.4269 - acc: 0.7882 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 568/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4268 - acc: 0.7899 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 569/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4268 - acc: 0.7899 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 570/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4268 - acc: 0.7917 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 571/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4267 - acc: 0.7917 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 572/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4266 - acc: 0.7899 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 573/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4266 - acc: 0.7899 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 574/1000 576/576 [==============================] - 0s 106us/step - loss: 0.4266 - acc: 0.7917 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 575/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4266 - acc: 0.7899 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 576/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4265 - acc: 0.7917 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 577/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4265 - acc: 0.7899 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 578/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4264 - acc: 0.7899 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 579/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4264 - acc: 0.7917 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 580/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4263 - acc: 0.7917 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 581/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4263 - acc: 0.7917 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 582/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4263 - acc: 0.7917 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 583/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4262 - acc: 0.7917 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 584/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4262 - acc: 0.7917 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 585/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4262 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 586/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4262 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 587/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4261 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 588/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4260 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 589/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4260 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 590/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4260 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 591/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4260 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 592/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4259 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 593/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4259 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 594/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4258 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 595/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4258 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 596/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4258 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 597/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4257 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 598/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4257 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 599/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4256 - acc: 0.7917 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 600/1000 576/576 [==============================] - 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val_loss: 0.5110 - val_acc: 0.7500 Epoch 608/1000 576/576 [==============================] - 0s 95us/step - loss: 0.4253 - acc: 0.7917 - val_loss: 0.5110 - val_acc: 0.7500 Epoch 609/1000 576/576 [==============================] - 0s 101us/step - loss: 0.4253 - acc: 0.7917 - val_loss: 0.5110 - val_acc: 0.7500 Epoch 610/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4252 - acc: 0.7917 - val_loss: 0.5110 - val_acc: 0.7500 Epoch 611/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4252 - acc: 0.7917 - val_loss: 0.5110 - val_acc: 0.7500 Epoch 612/1000 576/576 [==============================] - 0s 132us/step - loss: 0.4252 - acc: 0.7917 - val_loss: 0.5110 - val_acc: 0.7500 Epoch 613/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4251 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 614/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4251 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 615/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4251 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 616/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4250 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 617/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4250 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 618/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4250 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 619/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4249 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 620/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4249 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 621/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4248 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 622/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4248 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 623/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4248 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 624/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4247 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 625/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4247 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 626/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4247 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 627/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4246 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 628/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4246 - acc: 0.7917 - val_loss: 0.5111 - val_acc: 0.7500 Epoch 629/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4246 - acc: 0.7917 - val_loss: 0.5112 - val_acc: 0.7500 Epoch 630/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4245 - acc: 0.7917 - val_loss: 0.5112 - val_acc: 0.7500 Epoch 631/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4245 - acc: 0.7917 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 632/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4245 - acc: 0.7917 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 633/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4244 - acc: 0.7917 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 634/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4244 - acc: 0.7917 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 635/1000 576/576 [==============================] - 0s 97us/step - loss: 0.4243 - acc: 0.7917 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 636/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4243 - acc: 0.7917 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 637/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4243 - acc: 0.7899 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 638/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4243 - acc: 0.7917 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 639/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4242 - acc: 0.7917 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 640/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4242 - acc: 0.7917 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 641/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4241 - acc: 0.7917 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 642/1000 576/576 [==============================] - 0s 95us/step - loss: 0.4241 - acc: 0.7917 - val_loss: 0.5113 - val_acc: 0.7552 Epoch 643/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4241 - acc: 0.7917 - val_loss: 0.5113 - val_acc: 0.7552 Epoch 644/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4241 - acc: 0.7917 - val_loss: 0.5113 - val_acc: 0.7552 Epoch 645/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4240 - acc: 0.7917 - val_loss: 0.5113 - val_acc: 0.7552 Epoch 646/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4240 - acc: 0.7917 - val_loss: 0.5113 - val_acc: 0.7552 Epoch 647/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4239 - acc: 0.7917 - val_loss: 0.5113 - val_acc: 0.7552 Epoch 648/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4239 - acc: 0.7917 - val_loss: 0.5113 - val_acc: 0.7552 Epoch 649/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4239 - acc: 0.7917 - val_loss: 0.5113 - val_acc: 0.7500 Epoch 650/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4239 - acc: 0.7917 - val_loss: 0.5113 - val_acc: 0.7500 Epoch 651/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4238 - acc: 0.7917 - val_loss: 0.5113 - val_acc: 0.7500 Epoch 652/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4238 - acc: 0.7917 - val_loss: 0.5113 - val_acc: 0.7500 Epoch 653/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4238 - acc: 0.7917 - val_loss: 0.5113 - val_acc: 0.7500 Epoch 654/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4238 - acc: 0.7899 - val_loss: 0.5113 - val_acc: 0.7500 Epoch 655/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4236 - acc: 0.7917 - val_loss: 0.5113 - val_acc: 0.7500 Epoch 656/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4236 - acc: 0.7917 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 657/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4236 - acc: 0.7934 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 658/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4236 - acc: 0.7917 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 659/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4235 - acc: 0.7917 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 660/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4235 - acc: 0.7934 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 661/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4235 - acc: 0.7917 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 662/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4235 - acc: 0.7934 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 663/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4234 - acc: 0.7934 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 664/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4234 - acc: 0.7917 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 665/1000 576/576 [==============================] - 0s 95us/step - loss: 0.4233 - acc: 0.7917 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 666/1000 576/576 [==============================] - 0s 95us/step - loss: 0.4233 - acc: 0.7934 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 667/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4233 - acc: 0.7934 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 668/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4232 - acc: 0.7934 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 669/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4232 - acc: 0.7917 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 670/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4232 - acc: 0.7917 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 671/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4231 - acc: 0.7934 - val_loss: 0.5114 - val_acc: 0.7500 Epoch 672/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4231 - acc: 0.7934 - val_loss: 0.5115 - val_acc: 0.7500 Epoch 673/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4230 - acc: 0.7917 - val_loss: 0.5115 - val_acc: 0.7500 Epoch 674/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4230 - acc: 0.7934 - val_loss: 0.5115 - val_acc: 0.7500 Epoch 675/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4230 - acc: 0.7917 - val_loss: 0.5115 - val_acc: 0.7500 Epoch 676/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4230 - acc: 0.7934 - val_loss: 0.5115 - val_acc: 0.7500 Epoch 677/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4229 - acc: 0.7934 - val_loss: 0.5115 - val_acc: 0.7500 Epoch 678/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4229 - acc: 0.7934 - val_loss: 0.5115 - val_acc: 0.7500 Epoch 679/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4229 - acc: 0.7934 - val_loss: 0.5115 - val_acc: 0.7500 Epoch 680/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4228 - acc: 0.7934 - val_loss: 0.5115 - val_acc: 0.7500 Epoch 681/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4228 - acc: 0.7934 - val_loss: 0.5115 - val_acc: 0.7500 Epoch 682/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4228 - acc: 0.7934 - val_loss: 0.5115 - val_acc: 0.7500 Epoch 683/1000 576/576 [==============================] - 0s 95us/step - loss: 0.4227 - acc: 0.7934 - val_loss: 0.5116 - val_acc: 0.7500 Epoch 684/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4227 - acc: 0.7934 - val_loss: 0.5116 - val_acc: 0.7500 Epoch 685/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4227 - acc: 0.7934 - val_loss: 0.5116 - val_acc: 0.7500 Epoch 686/1000 576/576 [==============================] - 0s 66us/step - loss: 0.4226 - acc: 0.7934 - val_loss: 0.5116 - val_acc: 0.7500 Epoch 687/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4226 - acc: 0.7934 - val_loss: 0.5116 - val_acc: 0.7500 Epoch 688/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4226 - acc: 0.7934 - val_loss: 0.5116 - val_acc: 0.7500 Epoch 689/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4225 - acc: 0.7934 - val_loss: 0.5117 - val_acc: 0.7500 Epoch 690/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4226 - acc: 0.7934 - val_loss: 0.5117 - val_acc: 0.7500 Epoch 691/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4225 - acc: 0.7934 - val_loss: 0.5117 - val_acc: 0.7500 Epoch 692/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4225 - acc: 0.7934 - val_loss: 0.5117 - val_acc: 0.7500 Epoch 693/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4224 - acc: 0.7934 - val_loss: 0.5117 - val_acc: 0.7500 Epoch 694/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4224 - acc: 0.7934 - val_loss: 0.5117 - val_acc: 0.7500 Epoch 695/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4224 - acc: 0.7917 - val_loss: 0.5117 - val_acc: 0.7500 Epoch 696/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4224 - acc: 0.7917 - val_loss: 0.5118 - val_acc: 0.7500 Epoch 697/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4223 - acc: 0.7917 - val_loss: 0.5118 - val_acc: 0.7500 Epoch 698/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4223 - acc: 0.7917 - val_loss: 0.5118 - val_acc: 0.7500 Epoch 699/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4223 - acc: 0.7917 - val_loss: 0.5118 - val_acc: 0.7500 Epoch 700/1000 576/576 [==============================] - 0s 66us/step - loss: 0.4222 - acc: 0.7917 - val_loss: 0.5118 - val_acc: 0.7500 Epoch 701/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4222 - acc: 0.7917 - val_loss: 0.5118 - val_acc: 0.7500 Epoch 702/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4222 - acc: 0.7917 - val_loss: 0.5118 - val_acc: 0.7500 Epoch 703/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4221 - acc: 0.7917 - val_loss: 0.5118 - val_acc: 0.7500 Epoch 704/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4221 - acc: 0.7917 - val_loss: 0.5119 - val_acc: 0.7500 Epoch 705/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4221 - acc: 0.7917 - val_loss: 0.5119 - val_acc: 0.7500 Epoch 706/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4220 - acc: 0.7917 - val_loss: 0.5119 - val_acc: 0.7500 Epoch 707/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4220 - acc: 0.7917 - val_loss: 0.5119 - val_acc: 0.7500 Epoch 708/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4220 - acc: 0.7917 - val_loss: 0.5119 - val_acc: 0.7500 Epoch 709/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4219 - acc: 0.7917 - val_loss: 0.5119 - val_acc: 0.7500 Epoch 710/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4219 - acc: 0.7917 - val_loss: 0.5119 - val_acc: 0.7500 Epoch 711/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4219 - acc: 0.7917 - val_loss: 0.5120 - val_acc: 0.7500 Epoch 712/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4218 - acc: 0.7917 - val_loss: 0.5120 - val_acc: 0.7500 Epoch 713/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4218 - acc: 0.7917 - val_loss: 0.5120 - val_acc: 0.7500 Epoch 714/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4218 - acc: 0.7917 - val_loss: 0.5120 - val_acc: 0.7500 Epoch 715/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4217 - acc: 0.7917 - val_loss: 0.5120 - val_acc: 0.7500 Epoch 716/1000 576/576 [==============================] - ETA: 0s - loss: 0.3854 - acc: 0.843 - 0s 69us/step - loss: 0.4217 - acc: 0.7917 - val_loss: 0.5120 - val_acc: 0.7500 Epoch 717/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4217 - acc: 0.7917 - val_loss: 0.5121 - val_acc: 0.7500 Epoch 718/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4217 - acc: 0.7917 - val_loss: 0.5121 - val_acc: 0.7500 Epoch 719/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4216 - acc: 0.7917 - val_loss: 0.5121 - val_acc: 0.7500 Epoch 720/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4216 - acc: 0.7917 - val_loss: 0.5121 - val_acc: 0.7500 Epoch 721/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4216 - acc: 0.7917 - val_loss: 0.5121 - val_acc: 0.7500 Epoch 722/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4215 - acc: 0.7917 - val_loss: 0.5121 - val_acc: 0.7500 Epoch 723/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4215 - acc: 0.7917 - val_loss: 0.5121 - val_acc: 0.7500 Epoch 724/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4215 - acc: 0.7917 - val_loss: 0.5121 - val_acc: 0.7500 Epoch 725/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4214 - acc: 0.7917 - val_loss: 0.5122 - val_acc: 0.7500 Epoch 726/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4214 - acc: 0.7917 - val_loss: 0.5122 - val_acc: 0.7500 Epoch 727/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4213 - acc: 0.7917 - val_loss: 0.5122 - val_acc: 0.7500 Epoch 728/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4213 - acc: 0.7917 - val_loss: 0.5122 - val_acc: 0.7500 Epoch 729/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4213 - acc: 0.7917 - val_loss: 0.5122 - val_acc: 0.7500 Epoch 730/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4213 - acc: 0.7917 - val_loss: 0.5122 - val_acc: 0.7500 Epoch 731/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4212 - acc: 0.7917 - val_loss: 0.5123 - val_acc: 0.7500 Epoch 732/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4212 - acc: 0.7917 - val_loss: 0.5123 - val_acc: 0.7500 Epoch 733/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4211 - acc: 0.7917 - val_loss: 0.5123 - val_acc: 0.7500 Epoch 734/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4211 - acc: 0.7917 - val_loss: 0.5123 - val_acc: 0.7500 Epoch 735/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4211 - acc: 0.7917 - val_loss: 0.5123 - val_acc: 0.7500 Epoch 736/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4210 - acc: 0.7917 - val_loss: 0.5123 - val_acc: 0.7500 Epoch 737/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4210 - acc: 0.7899 - val_loss: 0.5123 - val_acc: 0.7500 Epoch 738/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4210 - acc: 0.7917 - val_loss: 0.5123 - val_acc: 0.7500 Epoch 739/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4209 - acc: 0.7917 - val_loss: 0.5124 - val_acc: 0.7500 Epoch 740/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4209 - acc: 0.7899 - val_loss: 0.5124 - val_acc: 0.7500 Epoch 741/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4209 - acc: 0.7899 - val_loss: 0.5124 - val_acc: 0.7500 Epoch 742/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4208 - acc: 0.7917 - val_loss: 0.5124 - val_acc: 0.7500 Epoch 743/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4208 - acc: 0.7917 - val_loss: 0.5124 - val_acc: 0.7500 Epoch 744/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4208 - acc: 0.7917 - val_loss: 0.5124 - val_acc: 0.7500 Epoch 745/1000 576/576 [==============================] - 0s 99us/step - loss: 0.4208 - acc: 0.7917 - val_loss: 0.5124 - val_acc: 0.7500 Epoch 746/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4207 - acc: 0.7899 - val_loss: 0.5125 - val_acc: 0.7500 Epoch 747/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4207 - acc: 0.7917 - val_loss: 0.5125 - val_acc: 0.7500 Epoch 748/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4206 - acc: 0.7917 - val_loss: 0.5125 - val_acc: 0.7500 Epoch 749/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4206 - acc: 0.7917 - val_loss: 0.5125 - val_acc: 0.7500 Epoch 750/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4206 - acc: 0.7899 - val_loss: 0.5125 - val_acc: 0.7500 Epoch 751/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4205 - acc: 0.7917 - val_loss: 0.5125 - val_acc: 0.7500 Epoch 752/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4205 - acc: 0.7899 - val_loss: 0.5125 - val_acc: 0.7500 Epoch 753/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4205 - acc: 0.7899 - val_loss: 0.5125 - val_acc: 0.7500 Epoch 754/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4205 - acc: 0.7917 - val_loss: 0.5126 - val_acc: 0.7500 Epoch 755/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4204 - acc: 0.7899 - val_loss: 0.5126 - val_acc: 0.7500 Epoch 756/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4204 - acc: 0.7917 - val_loss: 0.5126 - val_acc: 0.7500 Epoch 757/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4204 - acc: 0.7899 - val_loss: 0.5126 - val_acc: 0.7500 Epoch 758/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4203 - acc: 0.7899 - val_loss: 0.5126 - val_acc: 0.7500 Epoch 759/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4203 - acc: 0.7917 - val_loss: 0.5126 - val_acc: 0.7500 Epoch 760/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4202 - acc: 0.7899 - val_loss: 0.5126 - val_acc: 0.7500 Epoch 761/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4202 - acc: 0.7899 - val_loss: 0.5127 - val_acc: 0.7500 Epoch 762/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4202 - acc: 0.7934 - val_loss: 0.5127 - val_acc: 0.7500 Epoch 763/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4202 - acc: 0.7899 - val_loss: 0.5127 - val_acc: 0.7500 Epoch 764/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4202 - acc: 0.7882 - val_loss: 0.5127 - val_acc: 0.7500 Epoch 765/1000 576/576 [==============================] - 0s 66us/step - loss: 0.4201 - acc: 0.7899 - val_loss: 0.5127 - val_acc: 0.7448 Epoch 766/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4201 - acc: 0.7899 - val_loss: 0.5127 - val_acc: 0.7448 Epoch 767/1000 576/576 [==============================] - 0s 64us/step - loss: 0.4200 - acc: 0.7899 - val_loss: 0.5127 - val_acc: 0.7448 Epoch 768/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4200 - acc: 0.7917 - val_loss: 0.5128 - val_acc: 0.7448 Epoch 769/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4200 - acc: 0.7934 - val_loss: 0.5128 - val_acc: 0.7448 Epoch 770/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4200 - acc: 0.7899 - val_loss: 0.5128 - val_acc: 0.7448 Epoch 771/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4199 - acc: 0.7899 - val_loss: 0.5128 - val_acc: 0.7448 Epoch 772/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4199 - acc: 0.7917 - val_loss: 0.5128 - val_acc: 0.7448 Epoch 773/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4199 - acc: 0.7917 - val_loss: 0.5128 - val_acc: 0.7448 Epoch 774/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4199 - acc: 0.7899 - val_loss: 0.5128 - val_acc: 0.7448 Epoch 775/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4198 - acc: 0.7899 - val_loss: 0.5129 - val_acc: 0.7448 Epoch 776/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4198 - acc: 0.7917 - val_loss: 0.5129 - val_acc: 0.7448 Epoch 777/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4198 - acc: 0.7899 - val_loss: 0.5129 - val_acc: 0.7448 Epoch 778/1000 576/576 [==============================] - 0s 64us/step - loss: 0.4197 - acc: 0.7917 - val_loss: 0.5129 - val_acc: 0.7448 Epoch 779/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4197 - acc: 0.7899 - val_loss: 0.5129 - val_acc: 0.7448 Epoch 780/1000 576/576 [==============================] - 0s 64us/step - loss: 0.4197 - acc: 0.7899 - val_loss: 0.5129 - val_acc: 0.7448 Epoch 781/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4197 - acc: 0.7899 - val_loss: 0.5129 - val_acc: 0.7448 Epoch 782/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4197 - acc: 0.7917 - val_loss: 0.5130 - val_acc: 0.7448 Epoch 783/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4196 - acc: 0.7899 - val_loss: 0.5130 - val_acc: 0.7448 Epoch 784/1000 576/576 [==============================] - 0s 97us/step - loss: 0.4196 - acc: 0.7899 - val_loss: 0.5130 - val_acc: 0.7448 Epoch 785/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4195 - acc: 0.7899 - val_loss: 0.5130 - val_acc: 0.7448 Epoch 786/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4195 - acc: 0.7899 - val_loss: 0.5130 - val_acc: 0.7448 Epoch 787/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4195 - acc: 0.7899 - val_loss: 0.5130 - val_acc: 0.7448 Epoch 788/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4195 - acc: 0.7899 - val_loss: 0.5130 - val_acc: 0.7448 Epoch 789/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4195 - acc: 0.7899 - val_loss: 0.5130 - val_acc: 0.7448 Epoch 790/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4194 - acc: 0.7899 - val_loss: 0.5130 - val_acc: 0.7448 Epoch 791/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4194 - acc: 0.7899 - val_loss: 0.5130 - val_acc: 0.7448 Epoch 792/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4194 - acc: 0.7899 - val_loss: 0.5131 - val_acc: 0.7448 Epoch 793/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4194 - acc: 0.7899 - val_loss: 0.5131 - val_acc: 0.7448 Epoch 794/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4194 - acc: 0.7899 - val_loss: 0.5131 - val_acc: 0.7448 Epoch 795/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4193 - acc: 0.7899 - val_loss: 0.5131 - val_acc: 0.7448 Epoch 796/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4193 - acc: 0.7899 - val_loss: 0.5131 - val_acc: 0.7448 Epoch 797/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4192 - acc: 0.7899 - val_loss: 0.5131 - val_acc: 0.7448 Epoch 798/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4192 - acc: 0.7899 - val_loss: 0.5131 - val_acc: 0.7448 Epoch 799/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4192 - acc: 0.7899 - val_loss: 0.5131 - val_acc: 0.7448 Epoch 800/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4192 - acc: 0.7899 - val_loss: 0.5132 - val_acc: 0.7448 Epoch 801/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4192 - acc: 0.7899 - val_loss: 0.5132 - val_acc: 0.7448 Epoch 802/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4192 - acc: 0.7917 - val_loss: 0.5132 - val_acc: 0.7448 Epoch 803/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4191 - acc: 0.7899 - val_loss: 0.5132 - val_acc: 0.7448 Epoch 804/1000 576/576 [==============================] - 0s 95us/step - loss: 0.4191 - acc: 0.7917 - val_loss: 0.5132 - val_acc: 0.7448 Epoch 805/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4190 - acc: 0.7899 - val_loss: 0.5132 - val_acc: 0.7500 Epoch 806/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4190 - acc: 0.7899 - val_loss: 0.5132 - val_acc: 0.7500 Epoch 807/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4190 - acc: 0.7899 - val_loss: 0.5132 - val_acc: 0.7500 Epoch 808/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4190 - acc: 0.7899 - val_loss: 0.5132 - val_acc: 0.7500 Epoch 809/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4190 - acc: 0.7899 - val_loss: 0.5132 - val_acc: 0.7500 Epoch 810/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4190 - acc: 0.7899 - val_loss: 0.5132 - val_acc: 0.7500 Epoch 811/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4189 - acc: 0.7899 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 812/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4189 - acc: 0.7899 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 813/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4189 - acc: 0.7899 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 814/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4189 - acc: 0.7899 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 815/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4189 - acc: 0.7899 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 816/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4188 - acc: 0.7899 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 817/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4188 - acc: 0.7899 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 818/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4188 - acc: 0.7899 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 819/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4188 - acc: 0.7899 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 820/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4188 - acc: 0.7899 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 821/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4187 - acc: 0.7899 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 822/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4187 - acc: 0.7882 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 823/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4186 - acc: 0.7882 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 824/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4186 - acc: 0.7899 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 825/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4186 - acc: 0.7899 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 826/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4186 - acc: 0.7899 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 827/1000 576/576 [==============================] - 0s 66us/step - loss: 0.4185 - acc: 0.7899 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 828/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4186 - acc: 0.7899 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 829/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4185 - acc: 0.7899 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 830/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4185 - acc: 0.7899 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 831/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4185 - acc: 0.7917 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 832/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4184 - acc: 0.7882 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 833/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4184 - acc: 0.7899 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 834/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4184 - acc: 0.7882 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 835/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4183 - acc: 0.7899 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 836/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4183 - acc: 0.7882 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 837/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4183 - acc: 0.7882 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 838/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4183 - acc: 0.7882 - val_loss: 0.5134 - val_acc: 0.7500 Epoch 839/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4183 - acc: 0.7882 - val_loss: 0.5135 - val_acc: 0.7500 Epoch 840/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4182 - acc: 0.7882 - val_loss: 0.5135 - val_acc: 0.7500 Epoch 841/1000 576/576 [==============================] - 0s 64us/step - loss: 0.4182 - acc: 0.7882 - val_loss: 0.5135 - val_acc: 0.7500 Epoch 842/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4182 - acc: 0.7882 - val_loss: 0.5135 - val_acc: 0.7500 Epoch 843/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4182 - acc: 0.7882 - val_loss: 0.5135 - val_acc: 0.7500 Epoch 844/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4182 - acc: 0.7899 - val_loss: 0.5135 - val_acc: 0.7500 Epoch 845/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4181 - acc: 0.7882 - val_loss: 0.5135 - val_acc: 0.7500 Epoch 846/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4181 - acc: 0.7882 - val_loss: 0.5135 - val_acc: 0.7500 Epoch 847/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4181 - acc: 0.7882 - val_loss: 0.5135 - val_acc: 0.7500 Epoch 848/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4181 - acc: 0.7882 - val_loss: 0.5135 - val_acc: 0.7500 Epoch 849/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4180 - acc: 0.7882 - val_loss: 0.5135 - val_acc: 0.7500 Epoch 850/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4180 - acc: 0.7882 - val_loss: 0.5135 - val_acc: 0.7500 Epoch 851/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4180 - acc: 0.7882 - val_loss: 0.5135 - val_acc: 0.7500 Epoch 852/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4179 - acc: 0.7882 - val_loss: 0.5135 - val_acc: 0.7500 Epoch 853/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4179 - acc: 0.7882 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 854/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4179 - acc: 0.7882 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 855/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4179 - acc: 0.7882 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 856/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4179 - acc: 0.7882 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 857/1000 576/576 [==============================] - 0s 101us/step - loss: 0.4178 - acc: 0.7882 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 858/1000 576/576 [==============================] - 0s 57us/step - loss: 0.4178 - acc: 0.7882 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 859/1000 576/576 [==============================] - 0s 56us/step - loss: 0.4178 - acc: 0.7882 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 860/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4178 - acc: 0.7882 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 861/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4178 - acc: 0.7882 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 862/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4177 - acc: 0.7899 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 863/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4177 - acc: 0.7899 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 864/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4177 - acc: 0.7882 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 865/1000 576/576 [==============================] - ETA: 0s - loss: 0.4656 - acc: 0.718 - 0s 73us/step - loss: 0.4176 - acc: 0.7882 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 866/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4176 - acc: 0.7899 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 867/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4176 - acc: 0.7882 - val_loss: 0.5136 - val_acc: 0.7500 Epoch 868/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4176 - acc: 0.7882 - val_loss: 0.5137 - val_acc: 0.7500 Epoch 869/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4175 - acc: 0.7882 - val_loss: 0.5137 - val_acc: 0.7500 Epoch 870/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4175 - acc: 0.7882 - val_loss: 0.5137 - val_acc: 0.7500 Epoch 871/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4175 - acc: 0.7882 - val_loss: 0.5137 - val_acc: 0.7500 Epoch 872/1000 576/576 [==============================] - 0s 97us/step - loss: 0.4175 - acc: 0.7882 - val_loss: 0.5137 - val_acc: 0.7500 Epoch 873/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4174 - acc: 0.7899 - val_loss: 0.5137 - val_acc: 0.7500 Epoch 874/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4174 - acc: 0.7882 - val_loss: 0.5137 - val_acc: 0.7500 Epoch 875/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4174 - acc: 0.7899 - val_loss: 0.5137 - val_acc: 0.7500 Epoch 876/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4174 - acc: 0.7882 - val_loss: 0.5137 - val_acc: 0.7500 Epoch 877/1000 576/576 [==============================] - 0s 106us/step - loss: 0.4173 - acc: 0.7899 - val_loss: 0.5137 - val_acc: 0.7500 Epoch 878/1000 576/576 [==============================] - 0s 109us/step - loss: 0.4173 - acc: 0.7882 - val_loss: 0.5137 - val_acc: 0.7500 Epoch 879/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4173 - acc: 0.7882 - val_loss: 0.5138 - val_acc: 0.7500 Epoch 880/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4173 - acc: 0.7882 - val_loss: 0.5138 - val_acc: 0.7500 Epoch 881/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4173 - acc: 0.7899 - val_loss: 0.5138 - val_acc: 0.7500 Epoch 882/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4172 - acc: 0.7899 - val_loss: 0.5138 - val_acc: 0.7500 Epoch 883/1000 576/576 [==============================] - 0s 115us/step - loss: 0.4172 - acc: 0.7899 - val_loss: 0.5138 - val_acc: 0.7500 Epoch 884/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4172 - acc: 0.7882 - val_loss: 0.5138 - val_acc: 0.7500 Epoch 885/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4172 - acc: 0.7899 - val_loss: 0.5138 - val_acc: 0.7552 Epoch 886/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4171 - acc: 0.7899 - val_loss: 0.5138 - val_acc: 0.7552 Epoch 887/1000 576/576 [==============================] - 0s 95us/step - loss: 0.4171 - acc: 0.7899 - val_loss: 0.5138 - val_acc: 0.7552 Epoch 888/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4171 - acc: 0.7899 - val_loss: 0.5138 - val_acc: 0.7552 Epoch 889/1000 576/576 [==============================] - 0s 68us/step - loss: 0.4171 - acc: 0.7899 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 890/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4171 - acc: 0.7899 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 891/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4170 - acc: 0.7899 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 892/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4170 - acc: 0.7899 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 893/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4170 - acc: 0.7899 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 894/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4169 - acc: 0.7899 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 895/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4170 - acc: 0.7899 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 896/1000 576/576 [==============================] - 0s 97us/step - loss: 0.4169 - acc: 0.7899 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 897/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4169 - acc: 0.7899 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 898/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4169 - acc: 0.7899 - val_loss: 0.5140 - val_acc: 0.7552 Epoch 899/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4169 - acc: 0.7899 - val_loss: 0.5140 - val_acc: 0.7552 Epoch 900/1000 576/576 [==============================] - 0s 69us/step - loss: 0.4169 - acc: 0.7899 - val_loss: 0.5140 - val_acc: 0.7552 Epoch 901/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4168 - acc: 0.7899 - val_loss: 0.5140 - val_acc: 0.7552 Epoch 902/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4168 - acc: 0.7917 - val_loss: 0.5140 - val_acc: 0.7552 Epoch 903/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4168 - acc: 0.7899 - val_loss: 0.5140 - val_acc: 0.7552 Epoch 904/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4168 - acc: 0.7899 - val_loss: 0.5140 - val_acc: 0.7552 Epoch 905/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4168 - acc: 0.7899 - val_loss: 0.5140 - val_acc: 0.7552 Epoch 906/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4167 - acc: 0.7899 - val_loss: 0.5141 - val_acc: 0.7552 Epoch 907/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4167 - acc: 0.7899 - val_loss: 0.5141 - val_acc: 0.7552 Epoch 908/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4167 - acc: 0.7899 - val_loss: 0.5141 - val_acc: 0.7552 Epoch 909/1000 576/576 [==============================] - 0s 95us/step - loss: 0.4167 - acc: 0.7899 - val_loss: 0.5141 - val_acc: 0.7552 Epoch 910/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4167 - acc: 0.7899 - val_loss: 0.5141 - val_acc: 0.7552 Epoch 911/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4166 - acc: 0.7899 - val_loss: 0.5141 - val_acc: 0.7552 Epoch 912/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4166 - acc: 0.7917 - val_loss: 0.5141 - val_acc: 0.7552 Epoch 913/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4166 - acc: 0.7882 - val_loss: 0.5141 - val_acc: 0.7552 Epoch 914/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4166 - acc: 0.7917 - val_loss: 0.5141 - val_acc: 0.7552 Epoch 915/1000 576/576 [==============================] - 0s 92us/step - loss: 0.4165 - acc: 0.7899 - val_loss: 0.5141 - val_acc: 0.7552 Epoch 916/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4165 - acc: 0.7899 - val_loss: 0.5142 - val_acc: 0.7552 Epoch 917/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4165 - acc: 0.7899 - val_loss: 0.5142 - val_acc: 0.7552 Epoch 918/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4165 - acc: 0.7899 - val_loss: 0.5142 - val_acc: 0.7552 Epoch 919/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4165 - acc: 0.7917 - val_loss: 0.5142 - val_acc: 0.7552 Epoch 920/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4165 - acc: 0.7882 - val_loss: 0.5142 - val_acc: 0.7552 Epoch 921/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4165 - acc: 0.7882 - val_loss: 0.5142 - val_acc: 0.7552 Epoch 922/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4164 - acc: 0.7917 - val_loss: 0.5142 - val_acc: 0.7552 Epoch 923/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4164 - acc: 0.7899 - val_loss: 0.5142 - val_acc: 0.7552 Epoch 924/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4164 - acc: 0.7899 - val_loss: 0.5142 - val_acc: 0.7552 Epoch 925/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4164 - acc: 0.7899 - val_loss: 0.5142 - val_acc: 0.7552 Epoch 926/1000 576/576 [==============================] - 0s 73us/step - loss: 0.4164 - acc: 0.7899 - val_loss: 0.5142 - val_acc: 0.7552 Epoch 927/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4163 - acc: 0.7899 - val_loss: 0.5143 - val_acc: 0.7552 Epoch 928/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4163 - acc: 0.7899 - val_loss: 0.5143 - val_acc: 0.7552 Epoch 929/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4163 - acc: 0.7882 - val_loss: 0.5143 - val_acc: 0.7552 Epoch 930/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4163 - acc: 0.7882 - val_loss: 0.5143 - val_acc: 0.7552 Epoch 931/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4163 - acc: 0.7882 - val_loss: 0.5143 - val_acc: 0.7552 Epoch 932/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4162 - acc: 0.7882 - val_loss: 0.5143 - val_acc: 0.7552 Epoch 933/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4162 - acc: 0.7882 - val_loss: 0.5143 - val_acc: 0.7552 Epoch 934/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4162 - acc: 0.7882 - val_loss: 0.5143 - val_acc: 0.7552 Epoch 935/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4162 - acc: 0.7865 - val_loss: 0.5143 - val_acc: 0.7552 Epoch 936/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4161 - acc: 0.7882 - val_loss: 0.5143 - val_acc: 0.7552 Epoch 937/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4161 - acc: 0.7934 - val_loss: 0.5144 - val_acc: 0.7552 Epoch 938/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4161 - acc: 0.7865 - val_loss: 0.5144 - val_acc: 0.7552 Epoch 939/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4161 - acc: 0.7899 - val_loss: 0.5144 - val_acc: 0.7552 Epoch 940/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4161 - acc: 0.7882 - val_loss: 0.5144 - val_acc: 0.7552 Epoch 941/1000 576/576 [==============================] - 0s 78us/step - loss: 0.4161 - acc: 0.7899 - val_loss: 0.5144 - val_acc: 0.7552 Epoch 942/1000 576/576 [==============================] - 0s 71us/step - loss: 0.4161 - acc: 0.7899 - val_loss: 0.5144 - val_acc: 0.7552 Epoch 943/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4160 - acc: 0.7899 - val_loss: 0.5144 - val_acc: 0.7552 Epoch 944/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4160 - acc: 0.7882 - val_loss: 0.5144 - val_acc: 0.7552 Epoch 945/1000 576/576 [==============================] - 0s 94us/step - loss: 0.4160 - acc: 0.7882 - val_loss: 0.5144 - val_acc: 0.7552 Epoch 946/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4160 - acc: 0.7865 - val_loss: 0.5145 - val_acc: 0.7552 Epoch 947/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4159 - acc: 0.7865 - val_loss: 0.5145 - val_acc: 0.7552 Epoch 948/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4159 - acc: 0.7882 - val_loss: 0.5145 - val_acc: 0.7552 Epoch 949/1000 576/576 [==============================] - 0s 106us/step - loss: 0.4159 - acc: 0.7882 - val_loss: 0.5145 - val_acc: 0.7552 Epoch 950/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4159 - acc: 0.7899 - val_loss: 0.5145 - val_acc: 0.7552 Epoch 951/1000 576/576 [==============================] - 0s 99us/step - loss: 0.4159 - acc: 0.7865 - val_loss: 0.5145 - val_acc: 0.7552 Epoch 952/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4158 - acc: 0.7865 - val_loss: 0.5145 - val_acc: 0.7552 Epoch 953/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4158 - acc: 0.7882 - val_loss: 0.5146 - val_acc: 0.7552 Epoch 954/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4158 - acc: 0.7899 - val_loss: 0.5146 - val_acc: 0.7552 Epoch 955/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4158 - acc: 0.7882 - val_loss: 0.5146 - val_acc: 0.7552 Epoch 956/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4158 - acc: 0.7899 - val_loss: 0.5146 - val_acc: 0.7552 Epoch 957/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4158 - acc: 0.7899 - val_loss: 0.5146 - val_acc: 0.7552 Epoch 958/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4157 - acc: 0.7882 - val_loss: 0.5146 - val_acc: 0.7552 Epoch 959/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4157 - acc: 0.7882 - val_loss: 0.5146 - val_acc: 0.7552 Epoch 960/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4157 - acc: 0.7899 - val_loss: 0.5146 - val_acc: 0.7552 Epoch 961/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4157 - acc: 0.7882 - val_loss: 0.5147 - val_acc: 0.7552 Epoch 962/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4157 - acc: 0.7882 - val_loss: 0.5147 - val_acc: 0.7552 Epoch 963/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4157 - acc: 0.7865 - val_loss: 0.5147 - val_acc: 0.7552 Epoch 964/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4156 - acc: 0.7917 - val_loss: 0.5147 - val_acc: 0.7552 Epoch 965/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4156 - acc: 0.7899 - val_loss: 0.5147 - val_acc: 0.7552 Epoch 966/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4156 - acc: 0.7882 - val_loss: 0.5147 - val_acc: 0.7552 Epoch 967/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4155 - acc: 0.7882 - val_loss: 0.5147 - val_acc: 0.7552 Epoch 968/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4155 - acc: 0.7882 - val_loss: 0.5147 - val_acc: 0.7552 Epoch 969/1000 576/576 [==============================] - 0s 90us/step - loss: 0.4156 - acc: 0.7882 - val_loss: 0.5148 - val_acc: 0.7552 Epoch 970/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4155 - acc: 0.7882 - val_loss: 0.5148 - val_acc: 0.7552 Epoch 971/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4155 - acc: 0.7899 - val_loss: 0.5148 - val_acc: 0.7552 Epoch 972/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4155 - acc: 0.7917 - val_loss: 0.5148 - val_acc: 0.7552 Epoch 973/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4154 - acc: 0.7865 - val_loss: 0.5148 - val_acc: 0.7552 Epoch 974/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4154 - acc: 0.7882 - val_loss: 0.5148 - val_acc: 0.7552 Epoch 975/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4154 - acc: 0.7882 - val_loss: 0.5148 - val_acc: 0.7552 Epoch 976/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4154 - acc: 0.7865 - val_loss: 0.5148 - val_acc: 0.7552 Epoch 977/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4154 - acc: 0.7882 - val_loss: 0.5148 - val_acc: 0.7552 Epoch 978/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4154 - acc: 0.7865 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 979/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4154 - acc: 0.7882 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 980/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4153 - acc: 0.7882 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 981/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4153 - acc: 0.7899 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 982/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4153 - acc: 0.7899 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 983/1000 576/576 [==============================] - 0s 85us/step - loss: 0.4152 - acc: 0.7882 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 984/1000 576/576 [==============================] - 0s 83us/step - loss: 0.4153 - acc: 0.7865 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 985/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4152 - acc: 0.7865 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 986/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4152 - acc: 0.7882 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 987/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4152 - acc: 0.7847 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 988/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4152 - acc: 0.7865 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 989/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4151 - acc: 0.7847 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 990/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4151 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 991/1000 576/576 [==============================] - 0s 87us/step - loss: 0.4151 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 992/1000 576/576 [==============================] - 0s 88us/step - loss: 0.4151 - acc: 0.7865 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 993/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4151 - acc: 0.7847 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 994/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4150 - acc: 0.7847 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 995/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4150 - acc: 0.7865 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 996/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4150 - acc: 0.7847 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 997/1000 576/576 [==============================] - 0s 80us/step - loss: 0.4150 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 998/1000 576/576 [==============================] - 0s 82us/step - loss: 0.4150 - acc: 0.7847 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 999/1000 576/576 [==============================] - 0s 76us/step - loss: 0.4150 - acc: 0.7847 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1000/1000 576/576 [==============================] - 0s 75us/step - loss: 0.4149 - acc: 0.7847 - val_loss: 0.5151 - val_acc: 0.7552
In [22]:
n = len(run_hist_1.history["loss"])
m = len(run_hist_1b.history['loss'])
fig, ax = plt.subplots(figsize=(16, 8))
ax.plot(range(n), run_hist_1.history["loss"],'r', marker='.', label="Train Loss - Run 1")
ax.plot(range(n, n+m), run_hist_1b.history["loss"], 'hotpink', marker='.', label="Train Loss - Run 2")
ax.plot(range(n), run_hist_1.history["val_loss"],'b', marker='.', label="Validation Loss - Run 1")
ax.plot(range(n, n+m), run_hist_1b.history["val_loss"], 'LightSkyBlue', marker='.', label="Validation Loss - Run 2")
ax.legend()
Out[22]:
<matplotlib.legend.Legend at 0x2129ed45ac8>
Note that this graph begins where the other left off. While the training loss is still going down, it looks like the validation loss has stabilized (or even gotten worse!). This suggests that our network will not benefit from further training. What is the appropriate number of epochs?
In [ ]:
In [ ]:
Exercise¶
Now it's your turn. Do the following in the cells below:
- Build a model with two hidden layers, each with 6 nodes
- Use the "relu" activation function for the hidden layers, and "sigmoid" for the final layer
- Use a learning rate of .003 and train for 1500 epochs
- Graph the trajectory of the loss functions, accuracy on both train and test set
- Plot the roc curve for the predictions
Experiment with different learning rates, numbers of epochs, and network structures
In [23]:
# Type your code here to with layer 1,2 having activation relu and layer 3 with activation sigmoid
#Build a model with two hidden layers, each with 6 nodes
model_ex = Sequential([
Dense(6, input_shape=(8,), activation="relu"),
Dense(6, activation="relu"),
Dense(1, activation="sigmoid")
])
In [24]:
# Type your code here to plot the loss accuracy and ROC curve
# Use a learning rate of .003 and train for 1500 epochs
model_ex.compile(SGD(lr = .003), "binary_crossentropy", metrics=["accuracy"])
run_hist_ex = model_ex.fit(X_train_norm, y_train, validation_data=(X_test_norm, y_test), epochs=1500)
4*1
Train on 576 samples, validate on 192 samples Epoch 1/1500 576/576 [==============================] - 1s 1ms/step - loss: 0.7472 - acc: 0.5833 - val_loss: 0.7033 - val_acc: 0.5781 Epoch 2/1500 576/576 [==============================] - 0s 90us/step - loss: 0.7402 - acc: 0.6024 - val_loss: 0.6977 - val_acc: 0.5938 Epoch 3/1500 576/576 [==============================] - 0s 87us/step - loss: 0.7338 - acc: 0.6163 - val_loss: 0.6925 - val_acc: 0.5938 Epoch 4/1500 576/576 [==============================] - 0s 90us/step - loss: 0.7279 - acc: 0.6233 - val_loss: 0.6876 - val_acc: 0.6042 Epoch 5/1500 576/576 [==============================] - 0s 92us/step - loss: 0.7223 - acc: 0.6337 - val_loss: 0.6831 - val_acc: 0.6146 Epoch 6/1500 576/576 [==============================] - 0s 82us/step - loss: 0.7171 - acc: 0.6424 - val_loss: 0.6788 - val_acc: 0.6302 Epoch 7/1500 576/576 [==============================] - 0s 78us/step - loss: 0.7122 - acc: 0.6528 - val_loss: 0.6748 - val_acc: 0.6458 Epoch 8/1500 576/576 [==============================] - 0s 118us/step - loss: 0.7077 - acc: 0.6510 - val_loss: 0.6711 - val_acc: 0.6719 Epoch 9/1500 576/576 [==============================] - 0s 95us/step - loss: 0.7034 - acc: 0.6649 - val_loss: 0.6676 - val_acc: 0.6771 Epoch 10/1500 576/576 [==============================] - 0s 92us/step - loss: 0.6993 - acc: 0.6649 - val_loss: 0.6643 - val_acc: 0.6875 Epoch 11/1500 576/576 [==============================] - 0s 99us/step - loss: 0.6954 - acc: 0.6701 - val_loss: 0.6612 - val_acc: 0.6875 Epoch 12/1500 576/576 [==============================] - 0s 99us/step - loss: 0.6918 - acc: 0.6684 - val_loss: 0.6583 - val_acc: 0.6927 Epoch 13/1500 576/576 [==============================] - 0s 135us/step - loss: 0.6884 - acc: 0.6701 - val_loss: 0.6555 - val_acc: 0.6979 Epoch 14/1500 576/576 [==============================] - 0s 83us/step - loss: 0.6851 - acc: 0.6719 - val_loss: 0.6529 - val_acc: 0.6823 Epoch 15/1500 576/576 [==============================] - 0s 85us/step - loss: 0.6820 - acc: 0.6753 - val_loss: 0.6504 - val_acc: 0.6927 Epoch 16/1500 576/576 [==============================] - 0s 87us/step - loss: 0.6791 - acc: 0.6771 - val_loss: 0.6480 - val_acc: 0.6979 Epoch 17/1500 576/576 [==============================] - 0s 92us/step - loss: 0.6763 - acc: 0.6788 - val_loss: 0.6457 - val_acc: 0.7135 Epoch 18/1500 576/576 [==============================] - 0s 99us/step - loss: 0.6736 - acc: 0.6840 - val_loss: 0.6435 - val_acc: 0.7188 Epoch 19/1500 576/576 [==============================] - 0s 88us/step - loss: 0.6710 - acc: 0.6875 - val_loss: 0.6414 - val_acc: 0.7188 Epoch 20/1500 576/576 [==============================] - 0s 88us/step - loss: 0.6686 - acc: 0.6875 - val_loss: 0.6395 - val_acc: 0.7240 Epoch 21/1500 576/576 [==============================] - 0s 87us/step - loss: 0.6662 - acc: 0.6927 - val_loss: 0.6376 - val_acc: 0.7344 Epoch 22/1500 576/576 [==============================] - 0s 83us/step - loss: 0.6640 - acc: 0.7014 - val_loss: 0.6357 - val_acc: 0.7292 Epoch 23/1500 576/576 [==============================] - 0s 88us/step - loss: 0.6618 - acc: 0.7014 - val_loss: 0.6340 - val_acc: 0.7292 Epoch 24/1500 576/576 [==============================] - 0s 90us/step - loss: 0.6597 - acc: 0.7031 - val_loss: 0.6323 - val_acc: 0.7448 Epoch 25/1500 576/576 [==============================] - 0s 78us/step - loss: 0.6578 - acc: 0.7066 - val_loss: 0.6307 - val_acc: 0.7448 Epoch 26/1500 576/576 [==============================] - 0s 87us/step - loss: 0.6559 - acc: 0.7101 - val_loss: 0.6291 - val_acc: 0.7448 Epoch 27/1500 576/576 [==============================] - 0s 82us/step - loss: 0.6540 - acc: 0.7101 - val_loss: 0.6276 - val_acc: 0.7448 Epoch 28/1500 576/576 [==============================] - 0s 88us/step - loss: 0.6523 - acc: 0.7118 - val_loss: 0.6262 - val_acc: 0.7396 Epoch 29/1500 576/576 [==============================] - 0s 85us/step - loss: 0.6506 - acc: 0.7118 - val_loss: 0.6248 - val_acc: 0.7448 Epoch 30/1500 576/576 [==============================] - 0s 73us/step - loss: 0.6490 - acc: 0.7153 - val_loss: 0.6235 - val_acc: 0.7396 Epoch 31/1500 576/576 [==============================] - 0s 80us/step - loss: 0.6474 - acc: 0.7153 - val_loss: 0.6222 - val_acc: 0.7396 Epoch 32/1500 576/576 [==============================] - 0s 87us/step - loss: 0.6459 - acc: 0.7135 - val_loss: 0.6209 - val_acc: 0.7500 Epoch 33/1500 576/576 [==============================] - 0s 80us/step - loss: 0.6445 - acc: 0.7170 - val_loss: 0.6197 - val_acc: 0.7552 Epoch 34/1500 576/576 [==============================] - 0s 82us/step - loss: 0.6431 - acc: 0.7170 - val_loss: 0.6186 - val_acc: 0.7552 Epoch 35/1500 576/576 [==============================] - 0s 88us/step - loss: 0.6417 - acc: 0.7188 - val_loss: 0.6174 - val_acc: 0.7604 Epoch 36/1500 576/576 [==============================] - 0s 97us/step - loss: 0.6403 - acc: 0.7205 - val_loss: 0.6163 - val_acc: 0.7604 Epoch 37/1500 576/576 [==============================] - 0s 90us/step - loss: 0.6390 - acc: 0.7205 - val_loss: 0.6152 - val_acc: 0.7604 Epoch 38/1500 576/576 [==============================] - 0s 82us/step - loss: 0.6378 - acc: 0.7222 - val_loss: 0.6142 - val_acc: 0.7604 Epoch 39/1500 576/576 [==============================] - 0s 82us/step - loss: 0.6366 - acc: 0.7205 - val_loss: 0.6132 - val_acc: 0.7604 Epoch 40/1500 576/576 [==============================] - 0s 83us/step - loss: 0.6354 - acc: 0.7205 - val_loss: 0.6122 - val_acc: 0.7604 Epoch 41/1500 576/576 [==============================] - 0s 78us/step - loss: 0.6342 - acc: 0.7188 - val_loss: 0.6112 - val_acc: 0.7604 Epoch 42/1500 576/576 [==============================] - 0s 85us/step - loss: 0.6331 - acc: 0.7188 - val_loss: 0.6103 - val_acc: 0.7604 Epoch 43/1500 576/576 [==============================] - 0s 87us/step - loss: 0.6320 - acc: 0.7222 - val_loss: 0.6094 - val_acc: 0.7552 Epoch 44/1500 576/576 [==============================] - 0s 83us/step - loss: 0.6310 - acc: 0.7240 - val_loss: 0.6085 - val_acc: 0.7500 Epoch 45/1500 576/576 [==============================] - 0s 82us/step - loss: 0.6299 - acc: 0.7240 - val_loss: 0.6077 - val_acc: 0.7396 Epoch 46/1500 576/576 [==============================] - 0s 95us/step - loss: 0.6289 - acc: 0.7240 - val_loss: 0.6068 - val_acc: 0.7396 Epoch 47/1500 576/576 [==============================] - 0s 94us/step - loss: 0.6279 - acc: 0.7257 - val_loss: 0.6060 - val_acc: 0.7396 Epoch 48/1500 576/576 [==============================] - 0s 83us/step - loss: 0.6269 - acc: 0.7257 - val_loss: 0.6052 - val_acc: 0.7448 Epoch 49/1500 576/576 [==============================] - 0s 69us/step - loss: 0.6260 - acc: 0.7240 - val_loss: 0.6044 - val_acc: 0.7552 Epoch 50/1500 576/576 [==============================] - 0s 71us/step - loss: 0.6250 - acc: 0.7240 - val_loss: 0.6036 - val_acc: 0.7552 Epoch 51/1500 576/576 [==============================] - 0s 71us/step - loss: 0.6241 - acc: 0.7240 - val_loss: 0.6028 - val_acc: 0.7552 Epoch 52/1500 576/576 [==============================] - 0s 83us/step - loss: 0.6233 - acc: 0.7240 - val_loss: 0.6020 - val_acc: 0.7552 Epoch 53/1500 576/576 [==============================] - 0s 76us/step - loss: 0.6224 - acc: 0.7205 - val_loss: 0.6013 - val_acc: 0.7500 Epoch 54/1500 576/576 [==============================] - 0s 71us/step - loss: 0.6215 - acc: 0.7222 - val_loss: 0.6006 - val_acc: 0.7500 Epoch 55/1500 576/576 [==============================] - 0s 68us/step - loss: 0.6207 - acc: 0.7222 - val_loss: 0.5999 - val_acc: 0.7500 Epoch 56/1500 576/576 [==============================] - 0s 80us/step - loss: 0.6198 - acc: 0.7222 - val_loss: 0.5992 - val_acc: 0.7500 Epoch 57/1500 576/576 [==============================] - 0s 80us/step - loss: 0.6191 - acc: 0.7222 - val_loss: 0.5985 - val_acc: 0.7448 Epoch 58/1500 576/576 [==============================] - 0s 85us/step - loss: 0.6183 - acc: 0.7205 - val_loss: 0.5979 - val_acc: 0.7448 Epoch 59/1500 576/576 [==============================] - 0s 82us/step - loss: 0.6175 - acc: 0.7188 - val_loss: 0.5972 - val_acc: 0.7448 Epoch 60/1500 576/576 [==============================] - 0s 76us/step - loss: 0.6167 - acc: 0.7205 - val_loss: 0.5966 - val_acc: 0.7448 Epoch 61/1500 576/576 [==============================] - 0s 76us/step - loss: 0.6160 - acc: 0.7222 - val_loss: 0.5960 - val_acc: 0.7396 Epoch 62/1500 576/576 [==============================] - 0s 78us/step - loss: 0.6153 - acc: 0.7222 - val_loss: 0.5953 - val_acc: 0.7396 Epoch 63/1500 576/576 [==============================] - 0s 75us/step - loss: 0.6145 - acc: 0.7257 - val_loss: 0.5947 - val_acc: 0.7396 Epoch 64/1500 576/576 [==============================] - 0s 82us/step - loss: 0.6138 - acc: 0.7257 - val_loss: 0.5941 - val_acc: 0.7396 Epoch 65/1500 576/576 [==============================] - 0s 94us/step - loss: 0.6131 - acc: 0.7257 - val_loss: 0.5935 - val_acc: 0.7396 Epoch 66/1500 576/576 [==============================] - 0s 87us/step - loss: 0.6125 - acc: 0.7274 - val_loss: 0.5929 - val_acc: 0.7396 Epoch 67/1500 576/576 [==============================] - 0s 87us/step - loss: 0.6117 - acc: 0.7240 - val_loss: 0.5924 - val_acc: 0.7396 Epoch 68/1500 576/576 [==============================] - 0s 88us/step - loss: 0.6111 - acc: 0.7240 - val_loss: 0.5918 - val_acc: 0.7396 Epoch 69/1500 576/576 [==============================] - 0s 85us/step - loss: 0.6105 - acc: 0.7257 - val_loss: 0.5912 - val_acc: 0.7396 Epoch 70/1500 576/576 [==============================] - 0s 82us/step - loss: 0.6098 - acc: 0.7257 - val_loss: 0.5907 - val_acc: 0.7396 Epoch 71/1500 576/576 [==============================] - 0s 78us/step - loss: 0.6092 - acc: 0.7257 - val_loss: 0.5902 - val_acc: 0.7396 Epoch 72/1500 576/576 [==============================] - 0s 75us/step - loss: 0.6086 - acc: 0.7257 - val_loss: 0.5897 - val_acc: 0.7396 Epoch 73/1500 576/576 [==============================] - 0s 83us/step - loss: 0.6080 - acc: 0.7240 - val_loss: 0.5891 - val_acc: 0.7448 Epoch 74/1500 576/576 [==============================] - 0s 83us/step - loss: 0.6073 - acc: 0.7240 - val_loss: 0.5886 - val_acc: 0.7500 Epoch 75/1500 576/576 [==============================] - 0s 88us/step - loss: 0.6067 - acc: 0.7257 - val_loss: 0.5881 - val_acc: 0.7500 Epoch 76/1500 576/576 [==============================] - 0s 87us/step - loss: 0.6061 - acc: 0.7257 - val_loss: 0.5876 - val_acc: 0.7500 Epoch 77/1500 576/576 [==============================] - 0s 76us/step - loss: 0.6055 - acc: 0.7257 - val_loss: 0.5871 - val_acc: 0.7500 Epoch 78/1500 576/576 [==============================] - 0s 80us/step - loss: 0.6049 - acc: 0.7257 - val_loss: 0.5866 - val_acc: 0.7500 Epoch 79/1500 576/576 [==============================] - 0s 87us/step - loss: 0.6043 - acc: 0.7257 - val_loss: 0.5861 - val_acc: 0.7500 Epoch 80/1500 576/576 [==============================] - 0s 82us/step - loss: 0.6038 - acc: 0.7257 - val_loss: 0.5857 - val_acc: 0.7500 Epoch 81/1500 576/576 [==============================] - 0s 83us/step - loss: 0.6032 - acc: 0.7257 - val_loss: 0.5852 - val_acc: 0.7448 Epoch 82/1500 576/576 [==============================] - 0s 95us/step - loss: 0.6026 - acc: 0.7257 - val_loss: 0.5847 - val_acc: 0.7448 Epoch 83/1500 576/576 [==============================] - 0s 83us/step - loss: 0.6020 - acc: 0.7257 - val_loss: 0.5843 - val_acc: 0.7448 Epoch 84/1500 576/576 [==============================] - 0s 78us/step - loss: 0.6015 - acc: 0.7257 - val_loss: 0.5838 - val_acc: 0.7448 Epoch 85/1500 576/576 [==============================] - 0s 73us/step - loss: 0.6010 - acc: 0.7257 - val_loss: 0.5833 - val_acc: 0.7448 Epoch 86/1500 576/576 [==============================] - 0s 83us/step - loss: 0.6004 - acc: 0.7257 - val_loss: 0.5829 - val_acc: 0.7448 Epoch 87/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5999 - acc: 0.7257 - val_loss: 0.5824 - val_acc: 0.7448 Epoch 88/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5993 - acc: 0.7274 - val_loss: 0.5820 - val_acc: 0.7448 Epoch 89/1500 576/576 [==============================] - 0s 82us/step - loss: 0.5988 - acc: 0.7274 - val_loss: 0.5816 - val_acc: 0.7448 Epoch 90/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5983 - acc: 0.7274 - val_loss: 0.5811 - val_acc: 0.7448 Epoch 91/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5978 - acc: 0.7274 - val_loss: 0.5807 - val_acc: 0.7448 Epoch 92/1500 576/576 [==============================] - 0s 71us/step - loss: 0.5973 - acc: 0.7274 - val_loss: 0.5802 - val_acc: 0.7448 Epoch 93/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5968 - acc: 0.7274 - val_loss: 0.5798 - val_acc: 0.7448 Epoch 94/1500 576/576 [==============================] - 0s 87us/step - loss: 0.5963 - acc: 0.7274 - val_loss: 0.5794 - val_acc: 0.7448 Epoch 95/1500 576/576 [==============================] - 0s 75us/step - loss: 0.5958 - acc: 0.7257 - val_loss: 0.5789 - val_acc: 0.7448 Epoch 96/1500 576/576 [==============================] - 0s 69us/step - loss: 0.5953 - acc: 0.7257 - val_loss: 0.5785 - val_acc: 0.7448 Epoch 97/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5947 - acc: 0.7257 - val_loss: 0.5781 - val_acc: 0.7448 Epoch 98/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5942 - acc: 0.7240 - val_loss: 0.5776 - val_acc: 0.7500 Epoch 99/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5937 - acc: 0.7240 - val_loss: 0.5772 - val_acc: 0.7500 Epoch 100/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5932 - acc: 0.7240 - val_loss: 0.5768 - val_acc: 0.7500 Epoch 101/1500 576/576 [==============================] - 0s 82us/step - loss: 0.5928 - acc: 0.7222 - val_loss: 0.5764 - val_acc: 0.7552 Epoch 102/1500 576/576 [==============================] - 0s 87us/step - loss: 0.5923 - acc: 0.7222 - val_loss: 0.5760 - val_acc: 0.7552 Epoch 103/1500 576/576 [==============================] - 0s 68us/step - loss: 0.5918 - acc: 0.7222 - val_loss: 0.5756 - val_acc: 0.7552 Epoch 104/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5913 - acc: 0.7240 - val_loss: 0.5752 - val_acc: 0.7552 Epoch 105/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5909 - acc: 0.7240 - val_loss: 0.5747 - val_acc: 0.7552 Epoch 106/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5904 - acc: 0.7240 - val_loss: 0.5743 - val_acc: 0.7552 Epoch 107/1500 576/576 [==============================] - 0s 102us/step - loss: 0.5899 - acc: 0.7240 - val_loss: 0.5739 - val_acc: 0.7604 Epoch 108/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5895 - acc: 0.7240 - val_loss: 0.5735 - val_acc: 0.7604 Epoch 109/1500 576/576 [==============================] - 0s 87us/step - loss: 0.5890 - acc: 0.7240 - val_loss: 0.5732 - val_acc: 0.7604 Epoch 110/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5886 - acc: 0.7222 - val_loss: 0.5728 - val_acc: 0.7604 Epoch 111/1500 576/576 [==============================] - 0s 71us/step - loss: 0.5881 - acc: 0.7222 - val_loss: 0.5724 - val_acc: 0.7604 Epoch 112/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5876 - acc: 0.7240 - val_loss: 0.5720 - val_acc: 0.7604 Epoch 113/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5872 - acc: 0.7222 - val_loss: 0.5716 - val_acc: 0.7604 Epoch 114/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5868 - acc: 0.7257 - val_loss: 0.5712 - val_acc: 0.7604 Epoch 115/1500 576/576 [==============================] - 0s 64us/step - loss: 0.5863 - acc: 0.7274 - val_loss: 0.5708 - val_acc: 0.7604 Epoch 116/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5859 - acc: 0.7257 - val_loss: 0.5704 - val_acc: 0.7604 Epoch 117/1500 576/576 [==============================] - 0s 68us/step - loss: 0.5855 - acc: 0.7240 - val_loss: 0.5701 - val_acc: 0.7604 Epoch 118/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5850 - acc: 0.7240 - val_loss: 0.5697 - val_acc: 0.7604 Epoch 119/1500 576/576 [==============================] - 0s 82us/step - loss: 0.5846 - acc: 0.7222 - val_loss: 0.5693 - val_acc: 0.7604 Epoch 120/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5841 - acc: 0.7222 - val_loss: 0.5689 - val_acc: 0.7604 Epoch 121/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5837 - acc: 0.7222 - val_loss: 0.5686 - val_acc: 0.7604 Epoch 122/1500 576/576 [==============================] - 0s 71us/step - loss: 0.5833 - acc: 0.7240 - val_loss: 0.5682 - val_acc: 0.7604 Epoch 123/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5829 - acc: 0.7240 - val_loss: 0.5678 - val_acc: 0.7604 Epoch 124/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5825 - acc: 0.7240 - val_loss: 0.5675 - val_acc: 0.7604 Epoch 125/1500 576/576 [==============================] - 0s 108us/step - loss: 0.5821 - acc: 0.7257 - val_loss: 0.5671 - val_acc: 0.7604 Epoch 126/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5817 - acc: 0.7257 - val_loss: 0.5668 - val_acc: 0.7604 Epoch 127/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5812 - acc: 0.7257 - val_loss: 0.5664 - val_acc: 0.7604 Epoch 128/1500 576/576 [==============================] - 0s 82us/step - loss: 0.5809 - acc: 0.7274 - val_loss: 0.5661 - val_acc: 0.7604 Epoch 129/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5805 - acc: 0.7274 - val_loss: 0.5657 - val_acc: 0.7604 Epoch 130/1500 576/576 [==============================] - 0s 95us/step - loss: 0.5800 - acc: 0.7274 - val_loss: 0.5654 - val_acc: 0.7656 Epoch 131/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5796 - acc: 0.7274 - val_loss: 0.5650 - val_acc: 0.7656 Epoch 132/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5792 - acc: 0.7292 - val_loss: 0.5647 - val_acc: 0.7656 Epoch 133/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5788 - acc: 0.7274 - val_loss: 0.5643 - val_acc: 0.7656 Epoch 134/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5784 - acc: 0.7274 - val_loss: 0.5640 - val_acc: 0.7656 Epoch 135/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5780 - acc: 0.7274 - val_loss: 0.5636 - val_acc: 0.7656 Epoch 136/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5776 - acc: 0.7274 - val_loss: 0.5633 - val_acc: 0.7656 Epoch 137/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5772 - acc: 0.7274 - val_loss: 0.5630 - val_acc: 0.7656 Epoch 138/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5768 - acc: 0.7274 - val_loss: 0.5626 - val_acc: 0.7656 Epoch 139/1500 576/576 [==============================] - 0s 87us/step - loss: 0.5764 - acc: 0.7292 - val_loss: 0.5623 - val_acc: 0.7656 Epoch 140/1500 576/576 [==============================] - 0s 97us/step - loss: 0.5760 - acc: 0.7292 - val_loss: 0.5620 - val_acc: 0.7656 Epoch 141/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5756 - acc: 0.7292 - val_loss: 0.5616 - val_acc: 0.7656 Epoch 142/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5752 - acc: 0.7292 - val_loss: 0.5613 - val_acc: 0.7656 Epoch 143/1500 576/576 [==============================] - 0s 71us/step - loss: 0.5748 - acc: 0.7292 - val_loss: 0.5610 - val_acc: 0.7656 Epoch 144/1500 576/576 [==============================] - 0s 75us/step - loss: 0.5744 - acc: 0.7309 - val_loss: 0.5606 - val_acc: 0.7656 Epoch 145/1500 576/576 [==============================] - 0s 71us/step - loss: 0.5740 - acc: 0.7309 - val_loss: 0.5603 - val_acc: 0.7656 Epoch 146/1500 576/576 [==============================] - 0s 94us/step - loss: 0.5736 - acc: 0.7309 - val_loss: 0.5600 - val_acc: 0.7656 Epoch 147/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5732 - acc: 0.7309 - val_loss: 0.5596 - val_acc: 0.7656 Epoch 148/1500 576/576 [==============================] - 0s 71us/step - loss: 0.5727 - acc: 0.7309 - val_loss: 0.5593 - val_acc: 0.7656 Epoch 149/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5723 - acc: 0.7326 - val_loss: 0.5589 - val_acc: 0.7656 Epoch 150/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5719 - acc: 0.7344 - val_loss: 0.5586 - val_acc: 0.7656 Epoch 151/1500 576/576 [==============================] - 0s 104us/step - loss: 0.5715 - acc: 0.7344 - val_loss: 0.5583 - val_acc: 0.7656 Epoch 152/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5711 - acc: 0.7344 - val_loss: 0.5579 - val_acc: 0.7656 Epoch 153/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5707 - acc: 0.7344 - val_loss: 0.5576 - val_acc: 0.7656 Epoch 154/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5703 - acc: 0.7344 - val_loss: 0.5573 - val_acc: 0.7656 Epoch 155/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5699 - acc: 0.7344 - val_loss: 0.5570 - val_acc: 0.7656 Epoch 156/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5695 - acc: 0.7361 - val_loss: 0.5566 - val_acc: 0.7656 Epoch 157/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5691 - acc: 0.7361 - val_loss: 0.5563 - val_acc: 0.7656 Epoch 158/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5687 - acc: 0.7361 - val_loss: 0.5560 - val_acc: 0.7656 Epoch 159/1500 576/576 [==============================] - 0s 99us/step - loss: 0.5683 - acc: 0.7361 - val_loss: 0.5556 - val_acc: 0.7656 Epoch 160/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5679 - acc: 0.7361 - val_loss: 0.5553 - val_acc: 0.7656 Epoch 161/1500 576/576 [==============================] - 0s 97us/step - loss: 0.5675 - acc: 0.7344 - val_loss: 0.5550 - val_acc: 0.7656 Epoch 162/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5671 - acc: 0.7344 - val_loss: 0.5546 - val_acc: 0.7656 Epoch 163/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5667 - acc: 0.7344 - val_loss: 0.5543 - val_acc: 0.7656 Epoch 164/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5663 - acc: 0.7326 - val_loss: 0.5540 - val_acc: 0.7656 Epoch 165/1500 576/576 [==============================] - 0s 95us/step - loss: 0.5659 - acc: 0.7326 - val_loss: 0.5536 - val_acc: 0.7656 Epoch 166/1500 576/576 [==============================] - 0s 87us/step - loss: 0.5656 - acc: 0.7326 - val_loss: 0.5533 - val_acc: 0.7656 Epoch 167/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5652 - acc: 0.7326 - val_loss: 0.5530 - val_acc: 0.7656 Epoch 168/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5648 - acc: 0.7326 - val_loss: 0.5527 - val_acc: 0.7656 Epoch 169/1500 576/576 [==============================] - 0s 97us/step - loss: 0.5644 - acc: 0.7326 - val_loss: 0.5523 - val_acc: 0.7656 Epoch 170/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5641 - acc: 0.7326 - val_loss: 0.5520 - val_acc: 0.7656 Epoch 171/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5637 - acc: 0.7326 - val_loss: 0.5517 - val_acc: 0.7656 Epoch 172/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5633 - acc: 0.7326 - val_loss: 0.5514 - val_acc: 0.7656 Epoch 173/1500 576/576 [==============================] - 0s 82us/step - loss: 0.5629 - acc: 0.7326 - val_loss: 0.5511 - val_acc: 0.7656 Epoch 174/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5626 - acc: 0.7326 - val_loss: 0.5507 - val_acc: 0.7656 Epoch 175/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5622 - acc: 0.7326 - val_loss: 0.5504 - val_acc: 0.7656 Epoch 176/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5618 - acc: 0.7344 - val_loss: 0.5501 - val_acc: 0.7656 Epoch 177/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5615 - acc: 0.7344 - val_loss: 0.5498 - val_acc: 0.7656 Epoch 178/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5611 - acc: 0.7326 - val_loss: 0.5494 - val_acc: 0.7656 Epoch 179/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5607 - acc: 0.7344 - val_loss: 0.5491 - val_acc: 0.7656 Epoch 180/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5603 - acc: 0.7361 - val_loss: 0.5488 - val_acc: 0.7656 Epoch 181/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5600 - acc: 0.7361 - val_loss: 0.5485 - val_acc: 0.7656 Epoch 182/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5596 - acc: 0.7361 - val_loss: 0.5481 - val_acc: 0.7656 Epoch 183/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5592 - acc: 0.7361 - val_loss: 0.5478 - val_acc: 0.7656 Epoch 184/1500 576/576 [==============================] - 0s 87us/step - loss: 0.5589 - acc: 0.7361 - val_loss: 0.5475 - val_acc: 0.7656 Epoch 185/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5585 - acc: 0.7361 - val_loss: 0.5472 - val_acc: 0.7656 Epoch 186/1500 576/576 [==============================] - 0s 99us/step - loss: 0.5581 - acc: 0.7361 - val_loss: 0.5469 - val_acc: 0.7656 Epoch 187/1500 576/576 [==============================] - 0s 97us/step - loss: 0.5578 - acc: 0.7361 - val_loss: 0.5466 - val_acc: 0.7656 Epoch 188/1500 576/576 [==============================] - 0s 102us/step - loss: 0.5574 - acc: 0.7361 - val_loss: 0.5462 - val_acc: 0.7656 Epoch 189/1500 576/576 [==============================] - 0s 97us/step - loss: 0.5570 - acc: 0.7344 - val_loss: 0.5459 - val_acc: 0.7656 Epoch 190/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5566 - acc: 0.7344 - val_loss: 0.5456 - val_acc: 0.7656 Epoch 191/1500 576/576 [==============================] - 0s 94us/step - loss: 0.5562 - acc: 0.7361 - val_loss: 0.5453 - val_acc: 0.7604 Epoch 192/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5559 - acc: 0.7344 - val_loss: 0.5450 - val_acc: 0.7604 Epoch 193/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5555 - acc: 0.7326 - val_loss: 0.5447 - val_acc: 0.7604 Epoch 194/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5552 - acc: 0.7344 - val_loss: 0.5444 - val_acc: 0.7604 Epoch 195/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5548 - acc: 0.7361 - val_loss: 0.5441 - val_acc: 0.7604 Epoch 196/1500 576/576 [==============================] - 0s 82us/step - loss: 0.5545 - acc: 0.7344 - val_loss: 0.5438 - val_acc: 0.7656 Epoch 197/1500 576/576 [==============================] - 0s 97us/step - loss: 0.5542 - acc: 0.7326 - val_loss: 0.5435 - val_acc: 0.7656 Epoch 198/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5538 - acc: 0.7344 - val_loss: 0.5433 - val_acc: 0.7604 Epoch 199/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5534 - acc: 0.7344 - val_loss: 0.5430 - val_acc: 0.7604 Epoch 200/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5531 - acc: 0.7344 - val_loss: 0.5427 - val_acc: 0.7604 Epoch 201/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5528 - acc: 0.7344 - val_loss: 0.5424 - val_acc: 0.7604 Epoch 202/1500 576/576 [==============================] - 0s 87us/step - loss: 0.5524 - acc: 0.7361 - val_loss: 0.5421 - val_acc: 0.7604 Epoch 203/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5520 - acc: 0.7344 - val_loss: 0.5418 - val_acc: 0.7604 Epoch 204/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5517 - acc: 0.7361 - val_loss: 0.5415 - val_acc: 0.7604 Epoch 205/1500 576/576 [==============================] - 0s 108us/step - loss: 0.5513 - acc: 0.7361 - val_loss: 0.5413 - val_acc: 0.7604 Epoch 206/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5510 - acc: 0.7361 - val_loss: 0.5410 - val_acc: 0.7604 Epoch 207/1500 576/576 [==============================] - 0s 115us/step - loss: 0.5507 - acc: 0.7361 - val_loss: 0.5407 - val_acc: 0.7552 Epoch 208/1500 576/576 [==============================] - 0s 104us/step - loss: 0.5503 - acc: 0.7378 - val_loss: 0.5404 - val_acc: 0.7552 Epoch 209/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5500 - acc: 0.7378 - val_loss: 0.5402 - val_acc: 0.7552 Epoch 210/1500 576/576 [==============================] - 0s 92us/step - loss: 0.5496 - acc: 0.7378 - val_loss: 0.5399 - val_acc: 0.7552 Epoch 211/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5493 - acc: 0.7378 - val_loss: 0.5396 - val_acc: 0.7552 Epoch 212/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5489 - acc: 0.7378 - val_loss: 0.5394 - val_acc: 0.7552 Epoch 213/1500 576/576 [==============================] - 0s 101us/step - loss: 0.5486 - acc: 0.7396 - val_loss: 0.5391 - val_acc: 0.7552 Epoch 214/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5482 - acc: 0.7396 - val_loss: 0.5389 - val_acc: 0.7552 Epoch 215/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5479 - acc: 0.7396 - val_loss: 0.5386 - val_acc: 0.7552 Epoch 216/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5476 - acc: 0.7378 - val_loss: 0.5383 - val_acc: 0.7552 Epoch 217/1500 576/576 [==============================] - 0s 99us/step - loss: 0.5472 - acc: 0.7378 - val_loss: 0.5381 - val_acc: 0.7552 Epoch 218/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5469 - acc: 0.7378 - val_loss: 0.5378 - val_acc: 0.7552 Epoch 219/1500 576/576 [==============================] - 0s 95us/step - loss: 0.5466 - acc: 0.7378 - val_loss: 0.5376 - val_acc: 0.7552 Epoch 220/1500 576/576 [==============================] - 0s 87us/step - loss: 0.5462 - acc: 0.7378 - val_loss: 0.5374 - val_acc: 0.7552 Epoch 221/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5459 - acc: 0.7378 - val_loss: 0.5371 - val_acc: 0.7552 Epoch 222/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5455 - acc: 0.7378 - val_loss: 0.5369 - val_acc: 0.7552 Epoch 223/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5452 - acc: 0.7378 - val_loss: 0.5366 - val_acc: 0.7552 Epoch 224/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5449 - acc: 0.7378 - val_loss: 0.5364 - val_acc: 0.7552 Epoch 225/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5445 - acc: 0.7378 - val_loss: 0.5361 - val_acc: 0.7552 Epoch 226/1500 576/576 [==============================] - 0s 82us/step - loss: 0.5442 - acc: 0.7378 - val_loss: 0.5359 - val_acc: 0.7552 Epoch 227/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5439 - acc: 0.7396 - val_loss: 0.5357 - val_acc: 0.7552 Epoch 228/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5436 - acc: 0.7396 - val_loss: 0.5354 - val_acc: 0.7552 Epoch 229/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5433 - acc: 0.7396 - val_loss: 0.5352 - val_acc: 0.7552 Epoch 230/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5430 - acc: 0.7396 - val_loss: 0.5349 - val_acc: 0.7552 Epoch 231/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5427 - acc: 0.7396 - val_loss: 0.5347 - val_acc: 0.7552 Epoch 232/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5424 - acc: 0.7396 - val_loss: 0.5345 - val_acc: 0.7552 Epoch 233/1500 576/576 [==============================] - 0s 92us/step - loss: 0.5421 - acc: 0.7396 - val_loss: 0.5343 - val_acc: 0.7552 Epoch 234/1500 576/576 [==============================] - 0s 71us/step - loss: 0.5417 - acc: 0.7396 - val_loss: 0.5340 - val_acc: 0.7552 Epoch 235/1500 576/576 [==============================] - 0s 68us/step - loss: 0.5414 - acc: 0.7396 - val_loss: 0.5338 - val_acc: 0.7552 Epoch 236/1500 576/576 [==============================] - 0s 92us/step - loss: 0.5411 - acc: 0.7396 - val_loss: 0.5336 - val_acc: 0.7552 Epoch 237/1500 576/576 [==============================] - 0s 82us/step - loss: 0.5408 - acc: 0.7396 - val_loss: 0.5334 - val_acc: 0.7552 Epoch 238/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5405 - acc: 0.7396 - val_loss: 0.5332 - val_acc: 0.7604 Epoch 239/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5402 - acc: 0.7413 - val_loss: 0.5330 - val_acc: 0.7604 Epoch 240/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5399 - acc: 0.7413 - val_loss: 0.5328 - val_acc: 0.7604 Epoch 241/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5396 - acc: 0.7413 - val_loss: 0.5326 - val_acc: 0.7604 Epoch 242/1500 576/576 [==============================] - 0s 71us/step - loss: 0.5393 - acc: 0.7413 - val_loss: 0.5324 - val_acc: 0.7604 Epoch 243/1500 576/576 [==============================] - 0s 69us/step - loss: 0.5391 - acc: 0.7396 - val_loss: 0.5321 - val_acc: 0.7604 Epoch 244/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5388 - acc: 0.7396 - val_loss: 0.5319 - val_acc: 0.7604 Epoch 245/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5385 - acc: 0.7413 - val_loss: 0.5317 - val_acc: 0.7552 Epoch 246/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5382 - acc: 0.7413 - val_loss: 0.5315 - val_acc: 0.7552 Epoch 247/1500 576/576 [==============================] - 0s 87us/step - loss: 0.5379 - acc: 0.7396 - val_loss: 0.5313 - val_acc: 0.7552 Epoch 248/1500 576/576 [==============================] - 0s 102us/step - loss: 0.5376 - acc: 0.7396 - val_loss: 0.5311 - val_acc: 0.7552 Epoch 249/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5373 - acc: 0.7413 - val_loss: 0.5309 - val_acc: 0.7552 Epoch 250/1500 576/576 [==============================] - 0s 82us/step - loss: 0.5370 - acc: 0.7413 - val_loss: 0.5307 - val_acc: 0.7552 Epoch 251/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5368 - acc: 0.7413 - val_loss: 0.5305 - val_acc: 0.7552 Epoch 252/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5365 - acc: 0.7431 - val_loss: 0.5303 - val_acc: 0.7552 Epoch 253/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5362 - acc: 0.7431 - val_loss: 0.5301 - val_acc: 0.7552 Epoch 254/1500 576/576 [==============================] - 0s 92us/step - loss: 0.5359 - acc: 0.7413 - val_loss: 0.5299 - val_acc: 0.7552 Epoch 255/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5357 - acc: 0.7413 - val_loss: 0.5297 - val_acc: 0.7552 Epoch 256/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5354 - acc: 0.7431 - val_loss: 0.5295 - val_acc: 0.7552 Epoch 257/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5351 - acc: 0.7413 - val_loss: 0.5293 - val_acc: 0.7552 Epoch 258/1500 576/576 [==============================] - 0s 82us/step - loss: 0.5349 - acc: 0.7448 - val_loss: 0.5291 - val_acc: 0.7552 Epoch 259/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5346 - acc: 0.7431 - val_loss: 0.5289 - val_acc: 0.7552 Epoch 260/1500 576/576 [==============================] - 0s 94us/step - loss: 0.5343 - acc: 0.7465 - val_loss: 0.5288 - val_acc: 0.7552 Epoch 261/1500 576/576 [==============================] - 0s 82us/step - loss: 0.5340 - acc: 0.7431 - val_loss: 0.5286 - val_acc: 0.7552 Epoch 262/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5338 - acc: 0.7448 - val_loss: 0.5284 - val_acc: 0.7552 Epoch 263/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5335 - acc: 0.7448 - val_loss: 0.5282 - val_acc: 0.7552 Epoch 264/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5332 - acc: 0.7448 - val_loss: 0.5280 - val_acc: 0.7552 Epoch 265/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5330 - acc: 0.7448 - val_loss: 0.5278 - val_acc: 0.7552 Epoch 266/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5327 - acc: 0.7448 - val_loss: 0.5276 - val_acc: 0.7604 Epoch 267/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5324 - acc: 0.7448 - val_loss: 0.5274 - val_acc: 0.7604 Epoch 268/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5322 - acc: 0.7448 - val_loss: 0.5273 - val_acc: 0.7604 Epoch 269/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5319 - acc: 0.7465 - val_loss: 0.5271 - val_acc: 0.7604 Epoch 270/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5316 - acc: 0.7465 - val_loss: 0.5269 - val_acc: 0.7604 Epoch 271/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5314 - acc: 0.7465 - val_loss: 0.5267 - val_acc: 0.7604 Epoch 272/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5311 - acc: 0.7465 - val_loss: 0.5265 - val_acc: 0.7604 Epoch 273/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5308 - acc: 0.7465 - val_loss: 0.5263 - val_acc: 0.7604 Epoch 274/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5306 - acc: 0.7465 - val_loss: 0.5261 - val_acc: 0.7604 Epoch 275/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5303 - acc: 0.7465 - val_loss: 0.5259 - val_acc: 0.7604 Epoch 276/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5300 - acc: 0.7465 - val_loss: 0.5258 - val_acc: 0.7604 Epoch 277/1500 576/576 [==============================] - 0s 75us/step - loss: 0.5298 - acc: 0.7448 - val_loss: 0.5256 - val_acc: 0.7604 Epoch 278/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5296 - acc: 0.7448 - val_loss: 0.5254 - val_acc: 0.7656 Epoch 279/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5293 - acc: 0.7448 - val_loss: 0.5252 - val_acc: 0.7656 Epoch 280/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5290 - acc: 0.7448 - val_loss: 0.5250 - val_acc: 0.7656 Epoch 281/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5288 - acc: 0.7448 - val_loss: 0.5248 - val_acc: 0.7708 Epoch 282/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5285 - acc: 0.7448 - val_loss: 0.5246 - val_acc: 0.7708 Epoch 283/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5282 - acc: 0.7448 - val_loss: 0.5245 - val_acc: 0.7708 Epoch 284/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5280 - acc: 0.7431 - val_loss: 0.5243 - val_acc: 0.7708 Epoch 285/1500 576/576 [==============================] - 0s 82us/step - loss: 0.5277 - acc: 0.7431 - val_loss: 0.5241 - val_acc: 0.7708 Epoch 286/1500 576/576 [==============================] - 0s 75us/step - loss: 0.5275 - acc: 0.7431 - val_loss: 0.5239 - val_acc: 0.7708 Epoch 287/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5272 - acc: 0.7431 - val_loss: 0.5237 - val_acc: 0.7708 Epoch 288/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5270 - acc: 0.7431 - val_loss: 0.5236 - val_acc: 0.7708 Epoch 289/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5267 - acc: 0.7431 - val_loss: 0.5234 - val_acc: 0.7708 Epoch 290/1500 576/576 [==============================] - 0s 82us/step - loss: 0.5265 - acc: 0.7431 - val_loss: 0.5233 - val_acc: 0.7708 Epoch 291/1500 576/576 [==============================] - 0s 71us/step - loss: 0.5263 - acc: 0.7431 - val_loss: 0.5231 - val_acc: 0.7708 Epoch 292/1500 576/576 [==============================] - 0s 71us/step - loss: 0.5260 - acc: 0.7431 - val_loss: 0.5230 - val_acc: 0.7708 Epoch 293/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5258 - acc: 0.7431 - val_loss: 0.5228 - val_acc: 0.7708 Epoch 294/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5256 - acc: 0.7448 - val_loss: 0.5227 - val_acc: 0.7708 Epoch 295/1500 576/576 [==============================] - 0s 69us/step - loss: 0.5254 - acc: 0.7448 - val_loss: 0.5225 - val_acc: 0.7760 Epoch 296/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5251 - acc: 0.7431 - val_loss: 0.5224 - val_acc: 0.7760 Epoch 297/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5249 - acc: 0.7448 - val_loss: 0.5222 - val_acc: 0.7760 Epoch 298/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5247 - acc: 0.7448 - val_loss: 0.5221 - val_acc: 0.7760 Epoch 299/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5244 - acc: 0.7448 - val_loss: 0.5219 - val_acc: 0.7760 Epoch 300/1500 576/576 [==============================] - 0s 75us/step - loss: 0.5242 - acc: 0.7465 - 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val_loss: 0.5159 - val_acc: 0.7760 Epoch 346/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5140 - acc: 0.7552 - val_loss: 0.5158 - val_acc: 0.7708 Epoch 347/1500 576/576 [==============================] - 0s 75us/step - loss: 0.5138 - acc: 0.7569 - val_loss: 0.5157 - val_acc: 0.7708 Epoch 348/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5136 - acc: 0.7569 - val_loss: 0.5156 - val_acc: 0.7708 Epoch 349/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5134 - acc: 0.7552 - val_loss: 0.5155 - val_acc: 0.7708 Epoch 350/1500 576/576 [==============================] - 0s 69us/step - loss: 0.5132 - acc: 0.7569 - val_loss: 0.5154 - val_acc: 0.7708 Epoch 351/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5130 - acc: 0.7535 - val_loss: 0.5152 - val_acc: 0.7708 Epoch 352/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5128 - acc: 0.7535 - val_loss: 0.5151 - val_acc: 0.7708 Epoch 353/1500 576/576 [==============================] - 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val_loss: 0.5143 - val_acc: 0.7708 Epoch 361/1500 576/576 [==============================] - 0s 71us/step - loss: 0.5110 - acc: 0.7552 - val_loss: 0.5142 - val_acc: 0.7708 Epoch 362/1500 576/576 [==============================] - 0s 75us/step - loss: 0.5108 - acc: 0.7552 - val_loss: 0.5141 - val_acc: 0.7708 Epoch 363/1500 576/576 [==============================] - 0s 68us/step - loss: 0.5106 - acc: 0.7535 - val_loss: 0.5140 - val_acc: 0.7708 Epoch 364/1500 576/576 [==============================] - 0s 75us/step - loss: 0.5105 - acc: 0.7535 - val_loss: 0.5139 - val_acc: 0.7708 Epoch 365/1500 576/576 [==============================] - 0s 75us/step - loss: 0.5103 - acc: 0.7552 - val_loss: 0.5138 - val_acc: 0.7656 Epoch 366/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5101 - acc: 0.7552 - val_loss: 0.5137 - val_acc: 0.7656 Epoch 367/1500 576/576 [==============================] - 0s 97us/step - loss: 0.5099 - acc: 0.7535 - val_loss: 0.5136 - val_acc: 0.7656 Epoch 368/1500 576/576 [==============================] - 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val_loss: 0.5128 - val_acc: 0.7708 Epoch 376/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5082 - acc: 0.7569 - val_loss: 0.5127 - val_acc: 0.7708 Epoch 377/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5080 - acc: 0.7569 - val_loss: 0.5126 - val_acc: 0.7708 Epoch 378/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5079 - acc: 0.7587 - val_loss: 0.5125 - val_acc: 0.7708 Epoch 379/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5077 - acc: 0.7569 - val_loss: 0.5124 - val_acc: 0.7708 Epoch 380/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5075 - acc: 0.7569 - val_loss: 0.5124 - val_acc: 0.7760 Epoch 381/1500 576/576 [==============================] - 0s 82us/step - loss: 0.5073 - acc: 0.7569 - val_loss: 0.5123 - val_acc: 0.7760 Epoch 382/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5072 - acc: 0.7587 - val_loss: 0.5122 - val_acc: 0.7760 Epoch 383/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5070 - acc: 0.7587 - val_loss: 0.5121 - val_acc: 0.7760 Epoch 384/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5069 - acc: 0.7569 - val_loss: 0.5120 - val_acc: 0.7760 Epoch 385/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5066 - acc: 0.7569 - val_loss: 0.5119 - val_acc: 0.7760 Epoch 386/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5065 - acc: 0.7569 - val_loss: 0.5118 - val_acc: 0.7760 Epoch 387/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5063 - acc: 0.7587 - val_loss: 0.5117 - val_acc: 0.7760 Epoch 388/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5062 - acc: 0.7569 - val_loss: 0.5116 - val_acc: 0.7760 Epoch 389/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5060 - acc: 0.7587 - val_loss: 0.5115 - val_acc: 0.7760 Epoch 390/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5058 - acc: 0.7587 - val_loss: 0.5114 - val_acc: 0.7760 Epoch 391/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5056 - acc: 0.7587 - val_loss: 0.5113 - val_acc: 0.7760 Epoch 392/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5054 - acc: 0.7587 - val_loss: 0.5113 - val_acc: 0.7760 Epoch 393/1500 576/576 [==============================] - 0s 94us/step - loss: 0.5053 - acc: 0.7587 - val_loss: 0.5112 - val_acc: 0.7760 Epoch 394/1500 576/576 [==============================] - 0s 95us/step - loss: 0.5051 - acc: 0.7587 - val_loss: 0.5111 - val_acc: 0.7760 Epoch 395/1500 576/576 [==============================] - 0s 87us/step - loss: 0.5050 - acc: 0.7604 - val_loss: 0.5110 - val_acc: 0.7760 Epoch 396/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5048 - acc: 0.7604 - val_loss: 0.5109 - val_acc: 0.7760 Epoch 397/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5047 - acc: 0.7604 - val_loss: 0.5108 - val_acc: 0.7760 Epoch 398/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5044 - acc: 0.7604 - val_loss: 0.5107 - val_acc: 0.7760 Epoch 399/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5043 - acc: 0.7604 - val_loss: 0.5107 - val_acc: 0.7760 Epoch 400/1500 576/576 [==============================] - 0s 97us/step - loss: 0.5041 - acc: 0.7604 - val_loss: 0.5106 - val_acc: 0.7760 Epoch 401/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5039 - acc: 0.7604 - val_loss: 0.5105 - val_acc: 0.7760 Epoch 402/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5038 - acc: 0.7604 - val_loss: 0.5104 - val_acc: 0.7760 Epoch 403/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5036 - acc: 0.7604 - val_loss: 0.5103 - val_acc: 0.7760 Epoch 404/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5035 - acc: 0.7604 - val_loss: 0.5103 - val_acc: 0.7760 Epoch 405/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5033 - acc: 0.7639 - val_loss: 0.5102 - val_acc: 0.7760 Epoch 406/1500 576/576 [==============================] - 0s 71us/step - loss: 0.5032 - acc: 0.7639 - val_loss: 0.5101 - val_acc: 0.7760 Epoch 407/1500 576/576 [==============================] - 0s 69us/step - loss: 0.5030 - acc: 0.7639 - val_loss: 0.5100 - val_acc: 0.7760 Epoch 408/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5028 - acc: 0.7639 - val_loss: 0.5100 - val_acc: 0.7760 Epoch 409/1500 576/576 [==============================] - 0s 80us/step - loss: 0.5026 - acc: 0.7639 - val_loss: 0.5099 - val_acc: 0.7760 Epoch 410/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5025 - acc: 0.7639 - val_loss: 0.5098 - val_acc: 0.7760 Epoch 411/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5023 - acc: 0.7639 - val_loss: 0.5097 - val_acc: 0.7760 Epoch 412/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5021 - acc: 0.7639 - val_loss: 0.5097 - val_acc: 0.7760 Epoch 413/1500 576/576 [==============================] - 0s 87us/step - loss: 0.5020 - acc: 0.7639 - val_loss: 0.5096 - val_acc: 0.7760 Epoch 414/1500 576/576 [==============================] - 0s 75us/step - loss: 0.5019 - acc: 0.7639 - val_loss: 0.5095 - val_acc: 0.7812 Epoch 415/1500 576/576 [==============================] - 0s 90us/step - loss: 0.5017 - acc: 0.7639 - val_loss: 0.5095 - val_acc: 0.7760 Epoch 416/1500 576/576 [==============================] - 0s 71us/step - loss: 0.5015 - acc: 0.7639 - val_loss: 0.5094 - val_acc: 0.7760 Epoch 417/1500 576/576 [==============================] - 0s 71us/step - loss: 0.5014 - acc: 0.7639 - val_loss: 0.5094 - val_acc: 0.7760 Epoch 418/1500 576/576 [==============================] - 0s 88us/step - loss: 0.5012 - acc: 0.7639 - val_loss: 0.5093 - val_acc: 0.7760 Epoch 419/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5010 - acc: 0.7639 - val_loss: 0.5092 - val_acc: 0.7760 Epoch 420/1500 576/576 [==============================] - 0s 78us/step - loss: 0.5009 - acc: 0.7639 - val_loss: 0.5092 - val_acc: 0.7760 Epoch 421/1500 576/576 [==============================] - 0s 64us/step - loss: 0.5007 - acc: 0.7639 - val_loss: 0.5091 - val_acc: 0.7760 Epoch 422/1500 576/576 [==============================] - 0s 75us/step - loss: 0.5006 - acc: 0.7639 - val_loss: 0.5091 - val_acc: 0.7760 Epoch 423/1500 576/576 [==============================] - 0s 76us/step - loss: 0.5004 - acc: 0.7639 - val_loss: 0.5090 - val_acc: 0.7760 Epoch 424/1500 576/576 [==============================] - 0s 73us/step - loss: 0.5003 - acc: 0.7639 - val_loss: 0.5089 - val_acc: 0.7760 Epoch 425/1500 576/576 [==============================] - 0s 83us/step - loss: 0.5001 - acc: 0.7656 - val_loss: 0.5089 - val_acc: 0.7760 Epoch 426/1500 576/576 [==============================] - 0s 85us/step - loss: 0.5000 - acc: 0.7674 - val_loss: 0.5088 - val_acc: 0.7760 Epoch 427/1500 576/576 [==============================] - ETA: 0s - loss: 0.5241 - acc: 0.734 - 0s 137us/step - loss: 0.4998 - acc: 0.7691 - val_loss: 0.5088 - val_acc: 0.7760 Epoch 428/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4997 - acc: 0.7691 - val_loss: 0.5087 - val_acc: 0.7760 Epoch 429/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4995 - acc: 0.7691 - val_loss: 0.5086 - val_acc: 0.7760 Epoch 430/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4993 - acc: 0.7691 - val_loss: 0.5086 - val_acc: 0.7760 Epoch 431/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4992 - acc: 0.7691 - val_loss: 0.5085 - val_acc: 0.7760 Epoch 432/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4990 - acc: 0.7691 - val_loss: 0.5085 - val_acc: 0.7760 Epoch 433/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4989 - acc: 0.7691 - val_loss: 0.5084 - val_acc: 0.7812 Epoch 434/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4988 - acc: 0.7691 - val_loss: 0.5084 - val_acc: 0.7812 Epoch 435/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4986 - acc: 0.7691 - val_loss: 0.5083 - val_acc: 0.7812 Epoch 436/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4984 - acc: 0.7691 - val_loss: 0.5082 - val_acc: 0.7812 Epoch 437/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4983 - acc: 0.7691 - val_loss: 0.5082 - val_acc: 0.7812 Epoch 438/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4981 - acc: 0.7691 - val_loss: 0.5081 - val_acc: 0.7812 Epoch 439/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4980 - acc: 0.7691 - val_loss: 0.5081 - val_acc: 0.7812 Epoch 440/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4979 - acc: 0.7691 - val_loss: 0.5080 - val_acc: 0.7812 Epoch 441/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4977 - acc: 0.7708 - val_loss: 0.5080 - val_acc: 0.7812 Epoch 442/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4975 - acc: 0.7708 - val_loss: 0.5079 - val_acc: 0.7812 Epoch 443/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4974 - acc: 0.7708 - val_loss: 0.5079 - val_acc: 0.7812 Epoch 444/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4973 - acc: 0.7708 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 445/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4971 - acc: 0.7708 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 446/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4969 - acc: 0.7726 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 447/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4968 - acc: 0.7708 - val_loss: 0.5076 - val_acc: 0.7812 Epoch 448/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4966 - acc: 0.7726 - val_loss: 0.5076 - val_acc: 0.7812 Epoch 449/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4965 - acc: 0.7726 - val_loss: 0.5075 - val_acc: 0.7812 Epoch 450/1500 576/576 [==============================] - 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val_loss: 0.5071 - val_acc: 0.7812 Epoch 458/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4952 - acc: 0.7760 - val_loss: 0.5070 - val_acc: 0.7812 Epoch 459/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4950 - acc: 0.7760 - val_loss: 0.5070 - val_acc: 0.7812 Epoch 460/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4949 - acc: 0.7760 - val_loss: 0.5070 - val_acc: 0.7812 Epoch 461/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4947 - acc: 0.7760 - val_loss: 0.5069 - val_acc: 0.7812 Epoch 462/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4946 - acc: 0.7760 - val_loss: 0.5069 - val_acc: 0.7812 Epoch 463/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4944 - acc: 0.7760 - val_loss: 0.5068 - val_acc: 0.7812 Epoch 464/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4943 - acc: 0.7760 - val_loss: 0.5068 - val_acc: 0.7812 Epoch 465/1500 576/576 [==============================] - 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val_loss: 0.5065 - val_acc: 0.7812 Epoch 473/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4930 - acc: 0.7760 - val_loss: 0.5065 - val_acc: 0.7812 Epoch 474/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4929 - acc: 0.7760 - val_loss: 0.5064 - val_acc: 0.7812 Epoch 475/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4928 - acc: 0.7760 - val_loss: 0.5064 - val_acc: 0.7812 Epoch 476/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4926 - acc: 0.7760 - val_loss: 0.5064 - val_acc: 0.7812 Epoch 477/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4925 - acc: 0.7760 - val_loss: 0.5063 - val_acc: 0.7812 Epoch 478/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4924 - acc: 0.7760 - val_loss: 0.5063 - val_acc: 0.7812 Epoch 479/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4922 - acc: 0.7760 - val_loss: 0.5063 - val_acc: 0.7812 Epoch 480/1500 576/576 [==============================] - 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val_loss: 0.5061 - val_acc: 0.7812 Epoch 488/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4909 - acc: 0.7795 - val_loss: 0.5061 - val_acc: 0.7812 Epoch 489/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4908 - acc: 0.7778 - val_loss: 0.5061 - val_acc: 0.7812 Epoch 490/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4907 - acc: 0.7795 - val_loss: 0.5061 - val_acc: 0.7812 Epoch 491/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4906 - acc: 0.7795 - val_loss: 0.5061 - val_acc: 0.7812 Epoch 492/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4904 - acc: 0.7778 - val_loss: 0.5061 - val_acc: 0.7812 Epoch 493/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4902 - acc: 0.7812 - val_loss: 0.5061 - val_acc: 0.7812 Epoch 494/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4901 - acc: 0.7812 - val_loss: 0.5061 - val_acc: 0.7812 Epoch 495/1500 576/576 [==============================] - 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val_loss: 0.5060 - val_acc: 0.7812 Epoch 503/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4889 - acc: 0.7830 - val_loss: 0.5060 - val_acc: 0.7812 Epoch 504/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4888 - acc: 0.7865 - val_loss: 0.5060 - val_acc: 0.7812 Epoch 505/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4886 - acc: 0.7865 - val_loss: 0.5060 - val_acc: 0.7812 Epoch 506/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4885 - acc: 0.7865 - val_loss: 0.5060 - val_acc: 0.7865 Epoch 507/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4884 - acc: 0.7865 - val_loss: 0.5060 - val_acc: 0.7865 Epoch 508/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4883 - acc: 0.7865 - val_loss: 0.5059 - val_acc: 0.7865 Epoch 509/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4881 - acc: 0.7865 - val_loss: 0.5059 - val_acc: 0.7865 Epoch 510/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4880 - acc: 0.7865 - val_loss: 0.5059 - val_acc: 0.7865 Epoch 511/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4879 - acc: 0.7865 - val_loss: 0.5059 - val_acc: 0.7865 Epoch 512/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4877 - acc: 0.7865 - val_loss: 0.5059 - val_acc: 0.7865 Epoch 513/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4876 - acc: 0.7865 - val_loss: 0.5059 - val_acc: 0.7865 Epoch 514/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4875 - acc: 0.7865 - val_loss: 0.5058 - val_acc: 0.7865 Epoch 515/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4874 - acc: 0.7865 - val_loss: 0.5058 - val_acc: 0.7865 Epoch 516/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4872 - acc: 0.7865 - val_loss: 0.5058 - val_acc: 0.7865 Epoch 517/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4871 - acc: 0.7865 - val_loss: 0.5058 - val_acc: 0.7865 Epoch 518/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4870 - acc: 0.7865 - val_loss: 0.5058 - val_acc: 0.7865 Epoch 519/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4868 - acc: 0.7865 - val_loss: 0.5058 - val_acc: 0.7865 Epoch 520/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4866 - acc: 0.7882 - val_loss: 0.5058 - val_acc: 0.7865 Epoch 521/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4865 - acc: 0.7882 - val_loss: 0.5058 - val_acc: 0.7865 Epoch 522/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4864 - acc: 0.7882 - val_loss: 0.5057 - val_acc: 0.7865 Epoch 523/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4862 - acc: 0.7882 - val_loss: 0.5057 - val_acc: 0.7865 Epoch 524/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4862 - acc: 0.7882 - val_loss: 0.5057 - val_acc: 0.7865 Epoch 525/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4859 - acc: 0.7882 - val_loss: 0.5057 - val_acc: 0.7865 Epoch 526/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4858 - acc: 0.7882 - val_loss: 0.5057 - val_acc: 0.7865 Epoch 527/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4857 - acc: 0.7882 - val_loss: 0.5057 - val_acc: 0.7865 Epoch 528/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4856 - acc: 0.7865 - val_loss: 0.5057 - val_acc: 0.7865 Epoch 529/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4854 - acc: 0.7865 - val_loss: 0.5057 - val_acc: 0.7865 Epoch 530/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4853 - acc: 0.7865 - val_loss: 0.5057 - val_acc: 0.7865 Epoch 531/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4851 - acc: 0.7865 - val_loss: 0.5057 - val_acc: 0.7865 Epoch 532/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4850 - acc: 0.7865 - val_loss: 0.5056 - val_acc: 0.7865 Epoch 533/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4849 - acc: 0.7865 - val_loss: 0.5056 - val_acc: 0.7865 Epoch 534/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4847 - acc: 0.7865 - val_loss: 0.5056 - val_acc: 0.7865 Epoch 535/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4846 - acc: 0.7865 - val_loss: 0.5056 - val_acc: 0.7865 Epoch 536/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4845 - acc: 0.7865 - val_loss: 0.5056 - val_acc: 0.7865 Epoch 537/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4844 - acc: 0.7865 - val_loss: 0.5056 - val_acc: 0.7865 Epoch 538/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4843 - acc: 0.7865 - val_loss: 0.5056 - val_acc: 0.7865 Epoch 539/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4841 - acc: 0.7865 - val_loss: 0.5056 - val_acc: 0.7865 Epoch 540/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4840 - acc: 0.7865 - val_loss: 0.5056 - val_acc: 0.7865 Epoch 541/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4839 - acc: 0.7865 - val_loss: 0.5056 - val_acc: 0.7865 Epoch 542/1500 576/576 [==============================] - 0s 68us/step - loss: 0.4838 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 543/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4836 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 544/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4835 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 545/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4834 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 546/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4833 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 547/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4831 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 548/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4830 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 549/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4829 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 550/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4828 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 551/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4826 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7812 Epoch 552/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4825 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7812 Epoch 553/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4823 - acc: 0.7847 - val_loss: 0.5055 - val_acc: 0.7812 Epoch 554/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4823 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7812 Epoch 555/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4821 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7812 Epoch 556/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4820 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7812 Epoch 557/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4819 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 558/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4818 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 559/1500 576/576 [==============================] - 0s 68us/step - loss: 0.4816 - acc: 0.7847 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 560/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4815 - acc: 0.7847 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 561/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4814 - acc: 0.7847 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 562/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4813 - acc: 0.7865 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 563/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4812 - acc: 0.7847 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 564/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4811 - acc: 0.7847 - val_loss: 0.5054 - val_acc: 0.7865 Epoch 565/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4810 - acc: 0.7847 - val_loss: 0.5054 - val_acc: 0.7865 Epoch 566/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4809 - acc: 0.7882 - val_loss: 0.5054 - val_acc: 0.7865 Epoch 567/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4808 - acc: 0.7865 - val_loss: 0.5054 - val_acc: 0.7917 Epoch 568/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4807 - acc: 0.7865 - val_loss: 0.5054 - val_acc: 0.7917 Epoch 569/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4806 - acc: 0.7865 - val_loss: 0.5054 - val_acc: 0.7917 Epoch 570/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4804 - acc: 0.7882 - val_loss: 0.5054 - val_acc: 0.7917 Epoch 571/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4803 - acc: 0.7847 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 572/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4803 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 573/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4801 - acc: 0.7882 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 574/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4801 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 575/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4800 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 576/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4798 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 577/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4797 - acc: 0.7882 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 578/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4796 - acc: 0.7882 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 579/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4795 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 580/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4794 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 581/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4793 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 582/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4792 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 583/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4791 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 584/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4790 - acc: 0.7847 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 585/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4790 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 586/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4789 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7917 Epoch 587/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4788 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7865 Epoch 588/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4787 - acc: 0.7847 - val_loss: 0.5053 - val_acc: 0.7865 Epoch 589/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4786 - acc: 0.7847 - val_loss: 0.5053 - val_acc: 0.7865 Epoch 590/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4785 - acc: 0.7847 - val_loss: 0.5053 - val_acc: 0.7865 Epoch 591/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4785 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7865 Epoch 592/1500 576/576 [==============================] - 0s 68us/step - loss: 0.4784 - acc: 0.7847 - val_loss: 0.5053 - val_acc: 0.7865 Epoch 593/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4783 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7865 Epoch 594/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4783 - acc: 0.7865 - val_loss: 0.5053 - val_acc: 0.7865 Epoch 595/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4781 - acc: 0.7847 - val_loss: 0.5054 - val_acc: 0.7865 Epoch 596/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4780 - acc: 0.7847 - val_loss: 0.5054 - val_acc: 0.7865 Epoch 597/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4779 - acc: 0.7882 - val_loss: 0.5054 - val_acc: 0.7865 Epoch 598/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4778 - acc: 0.7847 - val_loss: 0.5054 - val_acc: 0.7865 Epoch 599/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4777 - acc: 0.7847 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 600/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4776 - acc: 0.7847 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 601/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4776 - acc: 0.7847 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 602/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4775 - acc: 0.7847 - val_loss: 0.5055 - val_acc: 0.7865 Epoch 603/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4774 - acc: 0.7847 - val_loss: 0.5056 - val_acc: 0.7865 Epoch 604/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4773 - acc: 0.7830 - val_loss: 0.5056 - val_acc: 0.7865 Epoch 605/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4772 - acc: 0.7847 - val_loss: 0.5056 - val_acc: 0.7865 Epoch 606/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4771 - acc: 0.7847 - val_loss: 0.5057 - val_acc: 0.7865 Epoch 607/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4770 - acc: 0.7847 - val_loss: 0.5057 - val_acc: 0.7865 Epoch 608/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4769 - acc: 0.7847 - val_loss: 0.5057 - val_acc: 0.7917 Epoch 609/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4768 - acc: 0.7847 - val_loss: 0.5058 - val_acc: 0.7917 Epoch 610/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4767 - acc: 0.7847 - val_loss: 0.5058 - val_acc: 0.7917 Epoch 611/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4767 - acc: 0.7847 - val_loss: 0.5058 - val_acc: 0.7917 Epoch 612/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4766 - acc: 0.7830 - val_loss: 0.5058 - val_acc: 0.7917 Epoch 613/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4765 - acc: 0.7830 - val_loss: 0.5059 - val_acc: 0.7917 Epoch 614/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4764 - acc: 0.7830 - val_loss: 0.5059 - val_acc: 0.7917 Epoch 615/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4763 - acc: 0.7830 - val_loss: 0.5059 - val_acc: 0.7917 Epoch 616/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4762 - acc: 0.7830 - val_loss: 0.5060 - val_acc: 0.7917 Epoch 617/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4761 - acc: 0.7830 - val_loss: 0.5060 - val_acc: 0.7917 Epoch 618/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4761 - acc: 0.7830 - val_loss: 0.5060 - val_acc: 0.7917 Epoch 619/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4760 - acc: 0.7830 - val_loss: 0.5061 - val_acc: 0.7917 Epoch 620/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4759 - acc: 0.7830 - val_loss: 0.5061 - val_acc: 0.7917 Epoch 621/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4758 - acc: 0.7830 - val_loss: 0.5062 - val_acc: 0.7917 Epoch 622/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4757 - acc: 0.7830 - val_loss: 0.5062 - val_acc: 0.7917 Epoch 623/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4757 - acc: 0.7830 - val_loss: 0.5062 - val_acc: 0.7917 Epoch 624/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4756 - acc: 0.7830 - val_loss: 0.5063 - val_acc: 0.7917 Epoch 625/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4755 - acc: 0.7830 - val_loss: 0.5063 - val_acc: 0.7917 Epoch 626/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4754 - acc: 0.7830 - val_loss: 0.5064 - val_acc: 0.7917 Epoch 627/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4753 - acc: 0.7830 - val_loss: 0.5064 - val_acc: 0.7917 Epoch 628/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4753 - acc: 0.7830 - val_loss: 0.5065 - val_acc: 0.7917 Epoch 629/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4752 - acc: 0.7830 - val_loss: 0.5065 - val_acc: 0.7917 Epoch 630/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4751 - acc: 0.7847 - val_loss: 0.5065 - val_acc: 0.7917 Epoch 631/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4750 - acc: 0.7830 - val_loss: 0.5066 - val_acc: 0.7917 Epoch 632/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4749 - acc: 0.7847 - val_loss: 0.5066 - val_acc: 0.7917 Epoch 633/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4749 - acc: 0.7830 - val_loss: 0.5066 - val_acc: 0.7917 Epoch 634/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4748 - acc: 0.7830 - val_loss: 0.5066 - val_acc: 0.7917 Epoch 635/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4748 - acc: 0.7830 - val_loss: 0.5067 - val_acc: 0.7917 Epoch 636/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4747 - acc: 0.7847 - val_loss: 0.5067 - val_acc: 0.7917 Epoch 637/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4746 - acc: 0.7847 - val_loss: 0.5067 - val_acc: 0.7917 Epoch 638/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4745 - acc: 0.7847 - val_loss: 0.5067 - val_acc: 0.7917 Epoch 639/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4745 - acc: 0.7847 - val_loss: 0.5067 - val_acc: 0.7917 Epoch 640/1500 576/576 [==============================] - 0s 66us/step - loss: 0.4744 - acc: 0.7847 - val_loss: 0.5068 - val_acc: 0.7917 Epoch 641/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4744 - acc: 0.7847 - val_loss: 0.5068 - val_acc: 0.7917 Epoch 642/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4743 - acc: 0.7847 - val_loss: 0.5068 - val_acc: 0.7917 Epoch 643/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4742 - acc: 0.7847 - val_loss: 0.5068 - val_acc: 0.7917 Epoch 644/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4742 - acc: 0.7847 - val_loss: 0.5068 - val_acc: 0.7917 Epoch 645/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4741 - acc: 0.7847 - val_loss: 0.5069 - val_acc: 0.7917 Epoch 646/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4740 - acc: 0.7865 - val_loss: 0.5069 - val_acc: 0.7917 Epoch 647/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4740 - acc: 0.7865 - val_loss: 0.5069 - val_acc: 0.7917 Epoch 648/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4739 - acc: 0.7847 - val_loss: 0.5069 - val_acc: 0.7917 Epoch 649/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4738 - acc: 0.7847 - val_loss: 0.5069 - val_acc: 0.7917 Epoch 650/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4737 - acc: 0.7865 - val_loss: 0.5070 - val_acc: 0.7917 Epoch 651/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4737 - acc: 0.7830 - val_loss: 0.5070 - val_acc: 0.7917 Epoch 652/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4736 - acc: 0.7847 - val_loss: 0.5070 - val_acc: 0.7917 Epoch 653/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4736 - acc: 0.7865 - val_loss: 0.5070 - val_acc: 0.7917 Epoch 654/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4735 - acc: 0.7847 - val_loss: 0.5070 - val_acc: 0.7917 Epoch 655/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4734 - acc: 0.7847 - val_loss: 0.5070 - val_acc: 0.7917 Epoch 656/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4734 - acc: 0.7865 - val_loss: 0.5071 - val_acc: 0.7917 Epoch 657/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4733 - acc: 0.7847 - val_loss: 0.5071 - val_acc: 0.7917 Epoch 658/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4732 - acc: 0.7865 - val_loss: 0.5071 - val_acc: 0.7917 Epoch 659/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4732 - acc: 0.7847 - val_loss: 0.5071 - val_acc: 0.7865 Epoch 660/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4731 - acc: 0.7865 - val_loss: 0.5071 - val_acc: 0.7865 Epoch 661/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4731 - acc: 0.7865 - val_loss: 0.5072 - val_acc: 0.7865 Epoch 662/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4730 - acc: 0.7865 - val_loss: 0.5072 - val_acc: 0.7865 Epoch 663/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4729 - acc: 0.7847 - val_loss: 0.5072 - val_acc: 0.7865 Epoch 664/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4729 - acc: 0.7847 - val_loss: 0.5072 - val_acc: 0.7865 Epoch 665/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4728 - acc: 0.7847 - val_loss: 0.5073 - val_acc: 0.7865 Epoch 666/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4727 - acc: 0.7847 - val_loss: 0.5073 - val_acc: 0.7865 Epoch 667/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4727 - acc: 0.7847 - val_loss: 0.5073 - val_acc: 0.7865 Epoch 668/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4726 - acc: 0.7847 - val_loss: 0.5073 - val_acc: 0.7865 Epoch 669/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4726 - acc: 0.7847 - val_loss: 0.5073 - val_acc: 0.7865 Epoch 670/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4725 - acc: 0.7865 - val_loss: 0.5074 - val_acc: 0.7865 Epoch 671/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4724 - acc: 0.7830 - val_loss: 0.5074 - val_acc: 0.7865 Epoch 672/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4724 - acc: 0.7847 - val_loss: 0.5074 - val_acc: 0.7865 Epoch 673/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4724 - acc: 0.7865 - val_loss: 0.5074 - val_acc: 0.7865 Epoch 674/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4722 - acc: 0.7847 - val_loss: 0.5074 - val_acc: 0.7865 Epoch 675/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4722 - acc: 0.7847 - val_loss: 0.5075 - val_acc: 0.7865 Epoch 676/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4722 - acc: 0.7847 - val_loss: 0.5075 - val_acc: 0.7865 Epoch 677/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4721 - acc: 0.7847 - val_loss: 0.5075 - val_acc: 0.7865 Epoch 678/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4720 - acc: 0.7847 - val_loss: 0.5075 - val_acc: 0.7865 Epoch 679/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4720 - acc: 0.7847 - val_loss: 0.5075 - val_acc: 0.7865 Epoch 680/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4718 - acc: 0.7847 - val_loss: 0.5075 - val_acc: 0.7865 Epoch 681/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4718 - acc: 0.7847 - val_loss: 0.5076 - val_acc: 0.7865 Epoch 682/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4717 - acc: 0.7847 - val_loss: 0.5076 - val_acc: 0.7865 Epoch 683/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4717 - acc: 0.7847 - val_loss: 0.5076 - val_acc: 0.7812 Epoch 684/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4716 - acc: 0.7847 - val_loss: 0.5076 - val_acc: 0.7812 Epoch 685/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4716 - acc: 0.7847 - val_loss: 0.5076 - val_acc: 0.7812 Epoch 686/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4715 - acc: 0.7865 - val_loss: 0.5076 - val_acc: 0.7812 Epoch 687/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4715 - acc: 0.7830 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 688/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4714 - acc: 0.7847 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 689/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4714 - acc: 0.7847 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 690/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4713 - acc: 0.7865 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 691/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4713 - acc: 0.7847 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 692/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4712 - acc: 0.7847 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 693/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4711 - acc: 0.7847 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 694/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4710 - acc: 0.7847 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 695/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4710 - acc: 0.7847 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 696/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4710 - acc: 0.7847 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 697/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4709 - acc: 0.7847 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 698/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4709 - acc: 0.7865 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 699/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4708 - acc: 0.7847 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 700/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4707 - acc: 0.7847 - val_loss: 0.5077 - val_acc: 0.7812 Epoch 701/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4707 - acc: 0.7865 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 702/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4706 - acc: 0.7847 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 703/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4706 - acc: 0.7847 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 704/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4706 - acc: 0.7847 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 705/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4705 - acc: 0.7847 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 706/1500 576/576 [==============================] - 0s 68us/step - loss: 0.4704 - acc: 0.7830 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 707/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4703 - acc: 0.7847 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 708/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4703 - acc: 0.7847 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 709/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4703 - acc: 0.7865 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 710/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4702 - acc: 0.7865 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 711/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4702 - acc: 0.7847 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 712/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4701 - acc: 0.7847 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 713/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4701 - acc: 0.7847 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 714/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4700 - acc: 0.7847 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 715/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4699 - acc: 0.7865 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 716/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4699 - acc: 0.7847 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 717/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4699 - acc: 0.7847 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 718/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4698 - acc: 0.7847 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 719/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4698 - acc: 0.7847 - val_loss: 0.5078 - val_acc: 0.7812 Epoch 720/1500 576/576 [==============================] - 0s 66us/step - loss: 0.4697 - acc: 0.7847 - val_loss: 0.5079 - val_acc: 0.7812 Epoch 721/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4697 - acc: 0.7847 - val_loss: 0.5079 - val_acc: 0.7812 Epoch 722/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4696 - acc: 0.7865 - val_loss: 0.5079 - val_acc: 0.7812 Epoch 723/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4696 - acc: 0.7847 - val_loss: 0.5079 - val_acc: 0.7812 Epoch 724/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4695 - acc: 0.7830 - val_loss: 0.5079 - val_acc: 0.7812 Epoch 725/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4695 - acc: 0.7847 - val_loss: 0.5079 - val_acc: 0.7812 Epoch 726/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4694 - acc: 0.7847 - val_loss: 0.5079 - val_acc: 0.7812 Epoch 727/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4694 - acc: 0.7830 - val_loss: 0.5080 - val_acc: 0.7812 Epoch 728/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4693 - acc: 0.7830 - val_loss: 0.5080 - val_acc: 0.7812 Epoch 729/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4693 - acc: 0.7847 - val_loss: 0.5080 - val_acc: 0.7812 Epoch 730/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4692 - acc: 0.7830 - val_loss: 0.5080 - val_acc: 0.7812 Epoch 731/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4692 - acc: 0.7847 - val_loss: 0.5080 - val_acc: 0.7812 Epoch 732/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4691 - acc: 0.7847 - val_loss: 0.5080 - val_acc: 0.7812 Epoch 733/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4690 - acc: 0.7847 - val_loss: 0.5080 - val_acc: 0.7812 Epoch 734/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4690 - acc: 0.7830 - val_loss: 0.5081 - val_acc: 0.7812 Epoch 735/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4689 - acc: 0.7830 - val_loss: 0.5081 - val_acc: 0.7812 Epoch 736/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4689 - acc: 0.7847 - val_loss: 0.5081 - val_acc: 0.7812 Epoch 737/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4688 - acc: 0.7847 - val_loss: 0.5081 - val_acc: 0.7812 Epoch 738/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4688 - acc: 0.7830 - val_loss: 0.5081 - val_acc: 0.7812 Epoch 739/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4687 - acc: 0.7830 - val_loss: 0.5081 - val_acc: 0.7812 Epoch 740/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4687 - acc: 0.7847 - val_loss: 0.5081 - val_acc: 0.7812 Epoch 741/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4686 - acc: 0.7830 - val_loss: 0.5082 - val_acc: 0.7812 Epoch 742/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4686 - acc: 0.7830 - val_loss: 0.5082 - val_acc: 0.7812 Epoch 743/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4685 - acc: 0.7847 - val_loss: 0.5082 - val_acc: 0.7812 Epoch 744/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4685 - acc: 0.7830 - val_loss: 0.5082 - val_acc: 0.7812 Epoch 745/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4684 - acc: 0.7847 - val_loss: 0.5082 - val_acc: 0.7812 Epoch 746/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4684 - acc: 0.7847 - val_loss: 0.5082 - val_acc: 0.7812 Epoch 747/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4684 - acc: 0.7865 - val_loss: 0.5082 - val_acc: 0.7812 Epoch 748/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4683 - acc: 0.7830 - val_loss: 0.5083 - val_acc: 0.7812 Epoch 749/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4682 - acc: 0.7830 - val_loss: 0.5083 - val_acc: 0.7812 Epoch 750/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4682 - acc: 0.7830 - val_loss: 0.5083 - val_acc: 0.7812 Epoch 751/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4681 - acc: 0.7830 - val_loss: 0.5083 - val_acc: 0.7812 Epoch 752/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4681 - acc: 0.7812 - val_loss: 0.5083 - val_acc: 0.7812 Epoch 753/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4681 - acc: 0.7830 - val_loss: 0.5083 - val_acc: 0.7812 Epoch 754/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4681 - acc: 0.7830 - val_loss: 0.5083 - val_acc: 0.7812 Epoch 755/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4679 - acc: 0.7812 - val_loss: 0.5084 - val_acc: 0.7812 Epoch 756/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4679 - acc: 0.7830 - val_loss: 0.5084 - val_acc: 0.7812 Epoch 757/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4679 - acc: 0.7812 - val_loss: 0.5084 - val_acc: 0.7812 Epoch 758/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4678 - acc: 0.7812 - val_loss: 0.5084 - val_acc: 0.7812 Epoch 759/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4678 - acc: 0.7830 - val_loss: 0.5084 - val_acc: 0.7812 Epoch 760/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4677 - acc: 0.7830 - val_loss: 0.5085 - val_acc: 0.7812 Epoch 761/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4677 - acc: 0.7812 - val_loss: 0.5085 - val_acc: 0.7812 Epoch 762/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4677 - acc: 0.7830 - val_loss: 0.5085 - val_acc: 0.7812 Epoch 763/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4676 - acc: 0.7830 - val_loss: 0.5085 - val_acc: 0.7812 Epoch 764/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4676 - acc: 0.7830 - val_loss: 0.5085 - val_acc: 0.7812 Epoch 765/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4675 - acc: 0.7830 - val_loss: 0.5085 - val_acc: 0.7812 Epoch 766/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4674 - acc: 0.7812 - val_loss: 0.5086 - val_acc: 0.7812 Epoch 767/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4674 - acc: 0.7830 - val_loss: 0.5086 - val_acc: 0.7812 Epoch 768/1500 576/576 [==============================] - 0s 68us/step - loss: 0.4673 - acc: 0.7812 - val_loss: 0.5086 - val_acc: 0.7812 Epoch 769/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4673 - acc: 0.7830 - val_loss: 0.5086 - val_acc: 0.7812 Epoch 770/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4672 - acc: 0.7830 - val_loss: 0.5086 - val_acc: 0.7812 Epoch 771/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4672 - acc: 0.7830 - val_loss: 0.5086 - val_acc: 0.7812 Epoch 772/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4672 - acc: 0.7812 - val_loss: 0.5087 - val_acc: 0.7812 Epoch 773/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4671 - acc: 0.7812 - val_loss: 0.5087 - val_acc: 0.7812 Epoch 774/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4670 - acc: 0.7812 - val_loss: 0.5087 - val_acc: 0.7812 Epoch 775/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4671 - acc: 0.7812 - val_loss: 0.5087 - val_acc: 0.7812 Epoch 776/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4670 - acc: 0.7812 - val_loss: 0.5087 - val_acc: 0.7812 Epoch 777/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4669 - acc: 0.7830 - val_loss: 0.5087 - val_acc: 0.7812 Epoch 778/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4669 - acc: 0.7830 - val_loss: 0.5087 - val_acc: 0.7812 Epoch 779/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4668 - acc: 0.7812 - val_loss: 0.5088 - val_acc: 0.7812 Epoch 780/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4668 - acc: 0.7812 - val_loss: 0.5088 - val_acc: 0.7812 Epoch 781/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4667 - acc: 0.7812 - val_loss: 0.5088 - val_acc: 0.7812 Epoch 782/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4667 - acc: 0.7812 - val_loss: 0.5088 - val_acc: 0.7812 Epoch 783/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4667 - acc: 0.7812 - val_loss: 0.5088 - val_acc: 0.7812 Epoch 784/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4666 - acc: 0.7830 - val_loss: 0.5088 - val_acc: 0.7812 Epoch 785/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4666 - acc: 0.7812 - val_loss: 0.5089 - val_acc: 0.7812 Epoch 786/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4665 - acc: 0.7812 - val_loss: 0.5089 - val_acc: 0.7812 Epoch 787/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4664 - acc: 0.7812 - val_loss: 0.5089 - val_acc: 0.7812 Epoch 788/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4664 - acc: 0.7812 - val_loss: 0.5089 - val_acc: 0.7812 Epoch 789/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4664 - acc: 0.7830 - val_loss: 0.5089 - val_acc: 0.7812 Epoch 790/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4663 - acc: 0.7812 - val_loss: 0.5089 - val_acc: 0.7812 Epoch 791/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4662 - acc: 0.7812 - val_loss: 0.5089 - val_acc: 0.7812 Epoch 792/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4662 - acc: 0.7830 - val_loss: 0.5090 - val_acc: 0.7812 Epoch 793/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4662 - acc: 0.7812 - val_loss: 0.5090 - val_acc: 0.7812 Epoch 794/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4661 - acc: 0.7830 - val_loss: 0.5090 - val_acc: 0.7812 Epoch 795/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4661 - acc: 0.7812 - val_loss: 0.5090 - val_acc: 0.7812 Epoch 796/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4660 - acc: 0.7830 - val_loss: 0.5090 - val_acc: 0.7812 Epoch 797/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4660 - acc: 0.7830 - val_loss: 0.5090 - val_acc: 0.7812 Epoch 798/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4659 - acc: 0.7830 - val_loss: 0.5090 - val_acc: 0.7812 Epoch 799/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4659 - acc: 0.7812 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 800/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4658 - acc: 0.7830 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 801/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4658 - acc: 0.7812 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 802/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4657 - acc: 0.7812 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 803/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4657 - acc: 0.7847 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 804/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4657 - acc: 0.7812 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 805/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4657 - acc: 0.7847 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 806/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4656 - acc: 0.7830 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 807/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4655 - acc: 0.7830 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 808/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4655 - acc: 0.7847 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 809/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4655 - acc: 0.7812 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 810/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4654 - acc: 0.7847 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 811/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4654 - acc: 0.7847 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 812/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4653 - acc: 0.7847 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 813/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4652 - acc: 0.7847 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 814/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4652 - acc: 0.7847 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 815/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4651 - acc: 0.7830 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 816/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4651 - acc: 0.7847 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 817/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4651 - acc: 0.7847 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 818/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4650 - acc: 0.7830 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 819/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4650 - acc: 0.7830 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 820/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4650 - acc: 0.7830 - val_loss: 0.5091 - val_acc: 0.7812 Epoch 821/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4649 - acc: 0.7847 - val_loss: 0.5092 - val_acc: 0.7812 Epoch 822/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4649 - acc: 0.7847 - val_loss: 0.5092 - val_acc: 0.7812 Epoch 823/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4648 - acc: 0.7847 - val_loss: 0.5092 - val_acc: 0.7812 Epoch 824/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4648 - acc: 0.7830 - val_loss: 0.5092 - val_acc: 0.7812 Epoch 825/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4647 - acc: 0.7847 - val_loss: 0.5092 - val_acc: 0.7812 Epoch 826/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4647 - acc: 0.7847 - val_loss: 0.5092 - val_acc: 0.7812 Epoch 827/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4646 - acc: 0.7847 - val_loss: 0.5092 - val_acc: 0.7812 Epoch 828/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4646 - acc: 0.7847 - val_loss: 0.5092 - val_acc: 0.7760 Epoch 829/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4645 - acc: 0.7847 - val_loss: 0.5092 - val_acc: 0.7760 Epoch 830/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4644 - acc: 0.7847 - val_loss: 0.5093 - val_acc: 0.7760 Epoch 831/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4644 - acc: 0.7847 - val_loss: 0.5093 - val_acc: 0.7760 Epoch 832/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4644 - acc: 0.7847 - val_loss: 0.5093 - val_acc: 0.7760 Epoch 833/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4643 - acc: 0.7847 - val_loss: 0.5093 - val_acc: 0.7760 Epoch 834/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4643 - acc: 0.7847 - val_loss: 0.5093 - val_acc: 0.7760 Epoch 835/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4643 - acc: 0.7847 - val_loss: 0.5093 - val_acc: 0.7760 Epoch 836/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4642 - acc: 0.7847 - val_loss: 0.5093 - val_acc: 0.7760 Epoch 837/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4642 - acc: 0.7847 - val_loss: 0.5094 - val_acc: 0.7760 Epoch 838/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4641 - acc: 0.7830 - val_loss: 0.5094 - val_acc: 0.7760 Epoch 839/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4641 - acc: 0.7847 - val_loss: 0.5094 - val_acc: 0.7760 Epoch 840/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4641 - acc: 0.7847 - val_loss: 0.5094 - val_acc: 0.7760 Epoch 841/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4640 - acc: 0.7847 - val_loss: 0.5094 - val_acc: 0.7760 Epoch 842/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4639 - acc: 0.7830 - val_loss: 0.5094 - val_acc: 0.7760 Epoch 843/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4639 - acc: 0.7847 - val_loss: 0.5094 - val_acc: 0.7760 Epoch 844/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4639 - acc: 0.7847 - val_loss: 0.5094 - val_acc: 0.7760 Epoch 845/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4638 - acc: 0.7847 - val_loss: 0.5095 - val_acc: 0.7760 Epoch 846/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4638 - acc: 0.7847 - val_loss: 0.5095 - val_acc: 0.7760 Epoch 847/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4637 - acc: 0.7830 - val_loss: 0.5095 - val_acc: 0.7760 Epoch 848/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4637 - acc: 0.7847 - val_loss: 0.5095 - val_acc: 0.7760 Epoch 849/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4636 - acc: 0.7830 - val_loss: 0.5095 - val_acc: 0.7760 Epoch 850/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4636 - acc: 0.7847 - val_loss: 0.5095 - val_acc: 0.7760 Epoch 851/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4636 - acc: 0.7847 - val_loss: 0.5095 - val_acc: 0.7760 Epoch 852/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4635 - acc: 0.7847 - val_loss: 0.5095 - val_acc: 0.7760 Epoch 853/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4635 - acc: 0.7847 - val_loss: 0.5096 - val_acc: 0.7760 Epoch 854/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4634 - acc: 0.7830 - val_loss: 0.5096 - val_acc: 0.7760 Epoch 855/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4634 - acc: 0.7847 - val_loss: 0.5096 - val_acc: 0.7760 Epoch 856/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4633 - acc: 0.7847 - val_loss: 0.5096 - val_acc: 0.7760 Epoch 857/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4633 - acc: 0.7847 - val_loss: 0.5096 - val_acc: 0.7760 Epoch 858/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4633 - acc: 0.7847 - val_loss: 0.5096 - val_acc: 0.7760 Epoch 859/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4632 - acc: 0.7830 - val_loss: 0.5097 - val_acc: 0.7760 Epoch 860/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4632 - acc: 0.7847 - val_loss: 0.5097 - val_acc: 0.7760 Epoch 861/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4631 - acc: 0.7830 - val_loss: 0.5097 - val_acc: 0.7760 Epoch 862/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4631 - acc: 0.7830 - val_loss: 0.5097 - val_acc: 0.7760 Epoch 863/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4630 - acc: 0.7847 - val_loss: 0.5098 - val_acc: 0.7760 Epoch 864/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4629 - acc: 0.7847 - val_loss: 0.5098 - val_acc: 0.7760 Epoch 865/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4628 - acc: 0.7847 - val_loss: 0.5098 - val_acc: 0.7760 Epoch 866/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4629 - acc: 0.7830 - val_loss: 0.5098 - val_acc: 0.7760 Epoch 867/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4628 - acc: 0.7847 - val_loss: 0.5099 - val_acc: 0.7760 Epoch 868/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4627 - acc: 0.7830 - val_loss: 0.5099 - val_acc: 0.7760 Epoch 869/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4627 - acc: 0.7847 - val_loss: 0.5099 - val_acc: 0.7760 Epoch 870/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4628 - acc: 0.7847 - val_loss: 0.5100 - val_acc: 0.7760 Epoch 871/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4626 - acc: 0.7847 - val_loss: 0.5100 - val_acc: 0.7760 Epoch 872/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4625 - acc: 0.7847 - val_loss: 0.5100 - val_acc: 0.7760 Epoch 873/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4625 - acc: 0.7830 - val_loss: 0.5101 - val_acc: 0.7760 Epoch 874/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4624 - acc: 0.7847 - val_loss: 0.5101 - val_acc: 0.7760 Epoch 875/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4624 - acc: 0.7830 - val_loss: 0.5101 - val_acc: 0.7760 Epoch 876/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4624 - acc: 0.7830 - val_loss: 0.5101 - val_acc: 0.7760 Epoch 877/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4622 - acc: 0.7830 - val_loss: 0.5102 - val_acc: 0.7760 Epoch 878/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4622 - acc: 0.7830 - val_loss: 0.5102 - val_acc: 0.7760 Epoch 879/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4621 - acc: 0.7830 - val_loss: 0.5102 - val_acc: 0.7760 Epoch 880/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4621 - acc: 0.7830 - val_loss: 0.5103 - val_acc: 0.7708 Epoch 881/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4621 - acc: 0.7830 - val_loss: 0.5103 - val_acc: 0.7708 Epoch 882/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4620 - acc: 0.7830 - val_loss: 0.5103 - val_acc: 0.7708 Epoch 883/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4619 - acc: 0.7830 - val_loss: 0.5103 - val_acc: 0.7708 Epoch 884/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4619 - acc: 0.7830 - val_loss: 0.5104 - val_acc: 0.7708 Epoch 885/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4619 - acc: 0.7830 - val_loss: 0.5104 - val_acc: 0.7708 Epoch 886/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4618 - acc: 0.7830 - val_loss: 0.5104 - val_acc: 0.7708 Epoch 887/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4617 - acc: 0.7830 - val_loss: 0.5104 - val_acc: 0.7708 Epoch 888/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4616 - acc: 0.7830 - val_loss: 0.5105 - val_acc: 0.7708 Epoch 889/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4616 - acc: 0.7830 - val_loss: 0.5105 - val_acc: 0.7708 Epoch 890/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4616 - acc: 0.7830 - val_loss: 0.5105 - val_acc: 0.7708 Epoch 891/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4616 - acc: 0.7830 - val_loss: 0.5105 - val_acc: 0.7708 Epoch 892/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4615 - acc: 0.7830 - val_loss: 0.5105 - val_acc: 0.7708 Epoch 893/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4614 - acc: 0.7830 - val_loss: 0.5106 - val_acc: 0.7708 Epoch 894/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4614 - acc: 0.7830 - val_loss: 0.5106 - val_acc: 0.7708 Epoch 895/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4613 - acc: 0.7830 - val_loss: 0.5106 - val_acc: 0.7708 Epoch 896/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4613 - acc: 0.7830 - val_loss: 0.5106 - val_acc: 0.7708 Epoch 897/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4613 - acc: 0.7830 - val_loss: 0.5106 - val_acc: 0.7708 Epoch 898/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4612 - acc: 0.7830 - val_loss: 0.5107 - val_acc: 0.7708 Epoch 899/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4611 - acc: 0.7830 - val_loss: 0.5107 - val_acc: 0.7708 Epoch 900/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4611 - acc: 0.7830 - val_loss: 0.5107 - val_acc: 0.7708 Epoch 901/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4611 - acc: 0.7830 - val_loss: 0.5107 - val_acc: 0.7708 Epoch 902/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4610 - acc: 0.7830 - val_loss: 0.5107 - val_acc: 0.7708 Epoch 903/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4610 - acc: 0.7830 - val_loss: 0.5107 - val_acc: 0.7708 Epoch 904/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4609 - acc: 0.7830 - val_loss: 0.5107 - val_acc: 0.7708 Epoch 905/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4608 - acc: 0.7830 - val_loss: 0.5108 - val_acc: 0.7708 Epoch 906/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4608 - acc: 0.7830 - val_loss: 0.5108 - val_acc: 0.7708 Epoch 907/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4607 - acc: 0.7830 - val_loss: 0.5108 - val_acc: 0.7708 Epoch 908/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4607 - acc: 0.7830 - val_loss: 0.5108 - val_acc: 0.7708 Epoch 909/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4606 - acc: 0.7830 - val_loss: 0.5108 - val_acc: 0.7708 Epoch 910/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4606 - acc: 0.7830 - val_loss: 0.5109 - val_acc: 0.7656 Epoch 911/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4606 - acc: 0.7830 - val_loss: 0.5109 - val_acc: 0.7656 Epoch 912/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4605 - acc: 0.7830 - val_loss: 0.5109 - val_acc: 0.7656 Epoch 913/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4605 - acc: 0.7830 - val_loss: 0.5109 - val_acc: 0.7656 Epoch 914/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4604 - acc: 0.7830 - val_loss: 0.5109 - val_acc: 0.7656 Epoch 915/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4604 - acc: 0.7830 - val_loss: 0.5110 - val_acc: 0.7656 Epoch 916/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4603 - acc: 0.7830 - val_loss: 0.5110 - val_acc: 0.7656 Epoch 917/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4603 - acc: 0.7830 - val_loss: 0.5110 - val_acc: 0.7656 Epoch 918/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4602 - acc: 0.7830 - val_loss: 0.5110 - val_acc: 0.7656 Epoch 919/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4602 - acc: 0.7830 - val_loss: 0.5110 - val_acc: 0.7656 Epoch 920/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4602 - acc: 0.7830 - val_loss: 0.5111 - val_acc: 0.7656 Epoch 921/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4601 - acc: 0.7830 - val_loss: 0.5111 - val_acc: 0.7656 Epoch 922/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4600 - acc: 0.7830 - val_loss: 0.5111 - val_acc: 0.7656 Epoch 923/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4600 - acc: 0.7830 - val_loss: 0.5111 - val_acc: 0.7656 Epoch 924/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4600 - acc: 0.7830 - val_loss: 0.5111 - val_acc: 0.7656 Epoch 925/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4599 - acc: 0.7830 - val_loss: 0.5112 - val_acc: 0.7656 Epoch 926/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4598 - acc: 0.7830 - val_loss: 0.5112 - val_acc: 0.7656 Epoch 927/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4598 - acc: 0.7830 - val_loss: 0.5112 - val_acc: 0.7656 Epoch 928/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4597 - acc: 0.7830 - val_loss: 0.5113 - val_acc: 0.7656 Epoch 929/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4597 - acc: 0.7830 - val_loss: 0.5113 - val_acc: 0.7656 Epoch 930/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4597 - acc: 0.7830 - val_loss: 0.5113 - val_acc: 0.7656 Epoch 931/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4596 - acc: 0.7830 - val_loss: 0.5114 - val_acc: 0.7656 Epoch 932/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4596 - acc: 0.7830 - val_loss: 0.5114 - val_acc: 0.7656 Epoch 933/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4595 - acc: 0.7830 - val_loss: 0.5114 - val_acc: 0.7656 Epoch 934/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4595 - acc: 0.7830 - val_loss: 0.5115 - val_acc: 0.7656 Epoch 935/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4594 - acc: 0.7830 - val_loss: 0.5115 - val_acc: 0.7656 Epoch 936/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4594 - acc: 0.7830 - val_loss: 0.5115 - val_acc: 0.7656 Epoch 937/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4593 - acc: 0.7830 - val_loss: 0.5115 - val_acc: 0.7656 Epoch 938/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4593 - acc: 0.7830 - val_loss: 0.5116 - val_acc: 0.7656 Epoch 939/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4592 - acc: 0.7830 - val_loss: 0.5116 - val_acc: 0.7656 Epoch 940/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4592 - acc: 0.7830 - val_loss: 0.5116 - val_acc: 0.7656 Epoch 941/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4591 - acc: 0.7830 - val_loss: 0.5117 - val_acc: 0.7656 Epoch 942/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4591 - acc: 0.7830 - val_loss: 0.5117 - val_acc: 0.7656 Epoch 943/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4591 - acc: 0.7830 - val_loss: 0.5117 - val_acc: 0.7656 Epoch 944/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4590 - acc: 0.7830 - val_loss: 0.5117 - val_acc: 0.7656 Epoch 945/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4590 - acc: 0.7830 - val_loss: 0.5118 - val_acc: 0.7656 Epoch 946/1500 576/576 [==============================] - 0s 68us/step - loss: 0.4589 - acc: 0.7830 - val_loss: 0.5118 - val_acc: 0.7656 Epoch 947/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4589 - acc: 0.7847 - val_loss: 0.5118 - val_acc: 0.7656 Epoch 948/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4589 - acc: 0.7847 - val_loss: 0.5118 - val_acc: 0.7656 Epoch 949/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4588 - acc: 0.7830 - val_loss: 0.5119 - val_acc: 0.7656 Epoch 950/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4588 - acc: 0.7847 - val_loss: 0.5119 - val_acc: 0.7656 Epoch 951/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4587 - acc: 0.7830 - val_loss: 0.5119 - val_acc: 0.7656 Epoch 952/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4587 - acc: 0.7847 - val_loss: 0.5119 - val_acc: 0.7656 Epoch 953/1500 576/576 [==============================] - 0s 64us/step - loss: 0.4586 - acc: 0.7847 - val_loss: 0.5119 - val_acc: 0.7656 Epoch 954/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4585 - acc: 0.7847 - val_loss: 0.5120 - val_acc: 0.7656 Epoch 955/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4585 - acc: 0.7847 - val_loss: 0.5120 - val_acc: 0.7656 Epoch 956/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4585 - acc: 0.7847 - val_loss: 0.5120 - val_acc: 0.7656 Epoch 957/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4585 - acc: 0.7847 - val_loss: 0.5120 - val_acc: 0.7656 Epoch 958/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4584 - acc: 0.7847 - val_loss: 0.5120 - val_acc: 0.7656 Epoch 959/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4583 - acc: 0.7847 - val_loss: 0.5121 - val_acc: 0.7656 Epoch 960/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4583 - acc: 0.7847 - val_loss: 0.5121 - val_acc: 0.7656 Epoch 961/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4582 - acc: 0.7847 - val_loss: 0.5121 - val_acc: 0.7656 Epoch 962/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4582 - acc: 0.7847 - val_loss: 0.5121 - val_acc: 0.7656 Epoch 963/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4581 - acc: 0.7847 - val_loss: 0.5122 - val_acc: 0.7604 Epoch 964/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4581 - acc: 0.7847 - val_loss: 0.5122 - val_acc: 0.7552 Epoch 965/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4580 - acc: 0.7847 - val_loss: 0.5122 - val_acc: 0.7552 Epoch 966/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4580 - acc: 0.7847 - val_loss: 0.5122 - val_acc: 0.7604 Epoch 967/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4580 - acc: 0.7847 - val_loss: 0.5122 - val_acc: 0.7604 Epoch 968/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4579 - acc: 0.7847 - val_loss: 0.5122 - val_acc: 0.7552 Epoch 969/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4578 - acc: 0.7847 - val_loss: 0.5123 - val_acc: 0.7552 Epoch 970/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4578 - acc: 0.7847 - val_loss: 0.5123 - val_acc: 0.7552 Epoch 971/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4577 - acc: 0.7847 - val_loss: 0.5123 - val_acc: 0.7552 Epoch 972/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4577 - acc: 0.7847 - val_loss: 0.5123 - val_acc: 0.7552 Epoch 973/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4577 - acc: 0.7847 - val_loss: 0.5123 - val_acc: 0.7552 Epoch 974/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4577 - acc: 0.7847 - val_loss: 0.5124 - val_acc: 0.7552 Epoch 975/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4576 - acc: 0.7865 - val_loss: 0.5124 - val_acc: 0.7552 Epoch 976/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4576 - acc: 0.7847 - val_loss: 0.5124 - val_acc: 0.7552 Epoch 977/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4575 - acc: 0.7847 - val_loss: 0.5124 - val_acc: 0.7552 Epoch 978/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4575 - acc: 0.7847 - val_loss: 0.5125 - val_acc: 0.7552 Epoch 979/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4574 - acc: 0.7847 - val_loss: 0.5125 - val_acc: 0.7552 Epoch 980/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4574 - acc: 0.7847 - val_loss: 0.5125 - val_acc: 0.7552 Epoch 981/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4573 - acc: 0.7847 - val_loss: 0.5125 - val_acc: 0.7552 Epoch 982/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4573 - acc: 0.7847 - val_loss: 0.5126 - val_acc: 0.7552 Epoch 983/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4573 - acc: 0.7847 - val_loss: 0.5126 - val_acc: 0.7552 Epoch 984/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4572 - acc: 0.7847 - val_loss: 0.5126 - val_acc: 0.7500 Epoch 985/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4571 - acc: 0.7847 - val_loss: 0.5127 - val_acc: 0.7500 Epoch 986/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4571 - acc: 0.7847 - val_loss: 0.5127 - val_acc: 0.7500 Epoch 987/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4571 - acc: 0.7847 - val_loss: 0.5127 - val_acc: 0.7500 Epoch 988/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4570 - acc: 0.7847 - val_loss: 0.5128 - val_acc: 0.7500 Epoch 989/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4569 - acc: 0.7847 - val_loss: 0.5128 - val_acc: 0.7500 Epoch 990/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4569 - acc: 0.7847 - val_loss: 0.5128 - val_acc: 0.7500 Epoch 991/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4569 - acc: 0.7847 - val_loss: 0.5128 - val_acc: 0.7500 Epoch 992/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4568 - acc: 0.7847 - val_loss: 0.5129 - val_acc: 0.7500 Epoch 993/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4568 - acc: 0.7847 - val_loss: 0.5129 - val_acc: 0.7500 Epoch 994/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4567 - acc: 0.7847 - val_loss: 0.5129 - val_acc: 0.7500 Epoch 995/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4567 - acc: 0.7847 - val_loss: 0.5130 - val_acc: 0.7500 Epoch 996/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4566 - acc: 0.7847 - val_loss: 0.5130 - val_acc: 0.7500 Epoch 997/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4566 - acc: 0.7847 - val_loss: 0.5130 - val_acc: 0.7500 Epoch 998/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4565 - acc: 0.7847 - val_loss: 0.5131 - val_acc: 0.7500 Epoch 999/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4565 - acc: 0.7847 - val_loss: 0.5131 - val_acc: 0.7500 Epoch 1000/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4564 - acc: 0.7847 - val_loss: 0.5131 - val_acc: 0.7500 Epoch 1001/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4564 - acc: 0.7847 - val_loss: 0.5131 - val_acc: 0.7500 Epoch 1002/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4563 - acc: 0.7847 - val_loss: 0.5132 - val_acc: 0.7500 Epoch 1003/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4563 - acc: 0.7830 - val_loss: 0.5132 - val_acc: 0.7500 Epoch 1004/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4562 - acc: 0.7847 - val_loss: 0.5132 - val_acc: 0.7500 Epoch 1005/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4562 - acc: 0.7847 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 1006/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4561 - acc: 0.7847 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 1007/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4561 - acc: 0.7847 - val_loss: 0.5133 - val_acc: 0.7500 Epoch 1008/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4560 - acc: 0.7847 - val_loss: 0.5133 - val_acc: 0.7552 Epoch 1009/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4560 - acc: 0.7865 - val_loss: 0.5133 - val_acc: 0.7552 Epoch 1010/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4560 - acc: 0.7865 - val_loss: 0.5134 - val_acc: 0.7552 Epoch 1011/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4559 - acc: 0.7847 - val_loss: 0.5134 - val_acc: 0.7552 Epoch 1012/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4559 - acc: 0.7865 - val_loss: 0.5134 - val_acc: 0.7552 Epoch 1013/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4558 - acc: 0.7865 - val_loss: 0.5134 - val_acc: 0.7552 Epoch 1014/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4558 - acc: 0.7865 - val_loss: 0.5134 - val_acc: 0.7552 Epoch 1015/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4557 - acc: 0.7865 - val_loss: 0.5135 - val_acc: 0.7552 Epoch 1016/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4557 - acc: 0.7847 - val_loss: 0.5135 - val_acc: 0.7552 Epoch 1017/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4557 - acc: 0.7865 - val_loss: 0.5135 - val_acc: 0.7552 Epoch 1018/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4556 - acc: 0.7865 - val_loss: 0.5135 - val_acc: 0.7552 Epoch 1019/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4556 - acc: 0.7847 - val_loss: 0.5135 - val_acc: 0.7552 Epoch 1020/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4555 - acc: 0.7865 - val_loss: 0.5136 - val_acc: 0.7552 Epoch 1021/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4554 - acc: 0.7865 - val_loss: 0.5136 - val_acc: 0.7552 Epoch 1022/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4555 - acc: 0.7865 - val_loss: 0.5136 - val_acc: 0.7552 Epoch 1023/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4554 - acc: 0.7882 - val_loss: 0.5136 - val_acc: 0.7552 Epoch 1024/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4553 - acc: 0.7882 - val_loss: 0.5137 - val_acc: 0.7552 Epoch 1025/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4553 - acc: 0.7865 - val_loss: 0.5137 - val_acc: 0.7552 Epoch 1026/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4553 - acc: 0.7882 - val_loss: 0.5137 - val_acc: 0.7552 Epoch 1027/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4552 - acc: 0.7865 - val_loss: 0.5137 - val_acc: 0.7552 Epoch 1028/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4552 - acc: 0.7882 - val_loss: 0.5138 - val_acc: 0.7552 Epoch 1029/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4551 - acc: 0.7882 - val_loss: 0.5138 - val_acc: 0.7552 Epoch 1030/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4551 - acc: 0.7882 - val_loss: 0.5138 - val_acc: 0.7552 Epoch 1031/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4550 - acc: 0.7882 - val_loss: 0.5138 - val_acc: 0.7552 Epoch 1032/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4550 - acc: 0.7882 - val_loss: 0.5138 - val_acc: 0.7552 Epoch 1033/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4550 - acc: 0.7882 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 1034/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4549 - acc: 0.7865 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 1035/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4549 - acc: 0.7882 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 1036/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4548 - acc: 0.7882 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 1037/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4549 - acc: 0.7882 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 1038/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4548 - acc: 0.7882 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 1039/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4547 - acc: 0.7882 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 1040/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4547 - acc: 0.7882 - val_loss: 0.5140 - val_acc: 0.7552 Epoch 1041/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4546 - acc: 0.7882 - val_loss: 0.5140 - val_acc: 0.7552 Epoch 1042/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4546 - acc: 0.7882 - val_loss: 0.5140 - val_acc: 0.7604 Epoch 1043/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4546 - acc: 0.7882 - val_loss: 0.5140 - val_acc: 0.7604 Epoch 1044/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4545 - acc: 0.7882 - val_loss: 0.5140 - val_acc: 0.7604 Epoch 1045/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4545 - acc: 0.7882 - val_loss: 0.5141 - val_acc: 0.7656 Epoch 1046/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4544 - acc: 0.7882 - val_loss: 0.5141 - val_acc: 0.7656 Epoch 1047/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4544 - acc: 0.7882 - val_loss: 0.5141 - val_acc: 0.7656 Epoch 1048/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4543 - acc: 0.7882 - val_loss: 0.5141 - val_acc: 0.7656 Epoch 1049/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4543 - acc: 0.7882 - val_loss: 0.5142 - val_acc: 0.7656 Epoch 1050/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4543 - acc: 0.7882 - val_loss: 0.5142 - val_acc: 0.7656 Epoch 1051/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4542 - acc: 0.7882 - val_loss: 0.5142 - val_acc: 0.7656 Epoch 1052/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4542 - acc: 0.7882 - val_loss: 0.5142 - val_acc: 0.7656 Epoch 1053/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4541 - acc: 0.7882 - val_loss: 0.5143 - val_acc: 0.7656 Epoch 1054/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4541 - acc: 0.7882 - val_loss: 0.5143 - val_acc: 0.7604 Epoch 1055/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4541 - acc: 0.7882 - val_loss: 0.5143 - val_acc: 0.7604 Epoch 1056/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4540 - acc: 0.7882 - val_loss: 0.5143 - val_acc: 0.7604 Epoch 1057/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4540 - acc: 0.7882 - val_loss: 0.5143 - val_acc: 0.7604 Epoch 1058/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4539 - acc: 0.7882 - val_loss: 0.5144 - val_acc: 0.7604 Epoch 1059/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4539 - acc: 0.7882 - val_loss: 0.5144 - val_acc: 0.7604 Epoch 1060/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4539 - acc: 0.7882 - val_loss: 0.5144 - val_acc: 0.7604 Epoch 1061/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4538 - acc: 0.7882 - val_loss: 0.5144 - val_acc: 0.7552 Epoch 1062/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4537 - acc: 0.7882 - val_loss: 0.5144 - val_acc: 0.7552 Epoch 1063/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4538 - acc: 0.7882 - val_loss: 0.5145 - val_acc: 0.7552 Epoch 1064/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4536 - acc: 0.7882 - val_loss: 0.5145 - val_acc: 0.7552 Epoch 1065/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4536 - acc: 0.7882 - val_loss: 0.5145 - val_acc: 0.7552 Epoch 1066/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4536 - acc: 0.7882 - val_loss: 0.5145 - val_acc: 0.7552 Epoch 1067/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4535 - acc: 0.7882 - val_loss: 0.5145 - val_acc: 0.7552 Epoch 1068/1500 576/576 [==============================] - 0s 66us/step - loss: 0.4535 - acc: 0.7882 - val_loss: 0.5145 - val_acc: 0.7552 Epoch 1069/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4535 - acc: 0.7882 - val_loss: 0.5146 - val_acc: 0.7552 Epoch 1070/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4534 - acc: 0.7882 - val_loss: 0.5146 - val_acc: 0.7552 Epoch 1071/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4533 - acc: 0.7882 - val_loss: 0.5146 - val_acc: 0.7552 Epoch 1072/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4533 - acc: 0.7882 - val_loss: 0.5146 - val_acc: 0.7604 Epoch 1073/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4532 - acc: 0.7882 - val_loss: 0.5146 - val_acc: 0.7604 Epoch 1074/1500 576/576 [==============================] - 0s 66us/step - loss: 0.4532 - acc: 0.7882 - val_loss: 0.5147 - val_acc: 0.7604 Epoch 1075/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4532 - acc: 0.7882 - val_loss: 0.5147 - val_acc: 0.7604 Epoch 1076/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4531 - acc: 0.7882 - val_loss: 0.5147 - val_acc: 0.7604 Epoch 1077/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4530 - acc: 0.7882 - val_loss: 0.5147 - val_acc: 0.7604 Epoch 1078/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4531 - acc: 0.7882 - val_loss: 0.5147 - val_acc: 0.7604 Epoch 1079/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4530 - acc: 0.7882 - val_loss: 0.5147 - val_acc: 0.7604 Epoch 1080/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4530 - acc: 0.7882 - val_loss: 0.5147 - val_acc: 0.7604 Epoch 1081/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4529 - acc: 0.7882 - val_loss: 0.5147 - val_acc: 0.7604 Epoch 1082/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4528 - acc: 0.7882 - val_loss: 0.5148 - val_acc: 0.7604 Epoch 1083/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4528 - acc: 0.7882 - val_loss: 0.5148 - val_acc: 0.7604 Epoch 1084/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4528 - acc: 0.7882 - val_loss: 0.5148 - val_acc: 0.7604 Epoch 1085/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4527 - acc: 0.7882 - val_loss: 0.5148 - val_acc: 0.7604 Epoch 1086/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4527 - acc: 0.7882 - val_loss: 0.5148 - val_acc: 0.7604 Epoch 1087/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4526 - acc: 0.7882 - val_loss: 0.5149 - val_acc: 0.7604 Epoch 1088/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4526 - acc: 0.7882 - val_loss: 0.5149 - val_acc: 0.7604 Epoch 1089/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4526 - acc: 0.7882 - val_loss: 0.5149 - val_acc: 0.7604 Epoch 1090/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4525 - acc: 0.7882 - val_loss: 0.5149 - val_acc: 0.7604 Epoch 1091/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4524 - acc: 0.7882 - val_loss: 0.5149 - val_acc: 0.7604 Epoch 1092/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4524 - acc: 0.7882 - val_loss: 0.5149 - val_acc: 0.7604 Epoch 1093/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4524 - acc: 0.7882 - val_loss: 0.5149 - val_acc: 0.7604 Epoch 1094/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4524 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7604 Epoch 1095/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4523 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7604 Epoch 1096/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4523 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7604 Epoch 1097/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4522 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7604 Epoch 1098/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4522 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7604 Epoch 1099/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4521 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7604 Epoch 1100/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4521 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7604 Epoch 1101/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4521 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7604 Epoch 1102/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4521 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7604 Epoch 1103/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4520 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7604 Epoch 1104/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4519 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7604 Epoch 1105/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4519 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7604 Epoch 1106/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4518 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7656 Epoch 1107/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4518 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7656 Epoch 1108/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4517 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7656 Epoch 1109/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4516 - acc: 0.7882 - val_loss: 0.5150 - val_acc: 0.7656 Epoch 1110/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4516 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 1111/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4516 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 1112/1500 576/576 [==============================] - ETA: 0s - loss: 0.4215 - acc: 0.812 - 0s 94us/step - loss: 0.4515 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 1113/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4515 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 1114/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4514 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 1115/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4514 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 1116/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4513 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 1117/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4513 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 1118/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4512 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 1119/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4512 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 1120/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4512 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 1121/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4511 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 1122/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4511 - acc: 0.7899 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 1123/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4510 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 1124/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4510 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7656 Epoch 1125/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4510 - acc: 0.7899 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 1126/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4510 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 1127/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4509 - acc: 0.7899 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 1128/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4509 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 1129/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4508 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 1130/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4507 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 1131/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4507 - acc: 0.7899 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 1132/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4507 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 1133/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4507 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 1134/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4506 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 1135/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4505 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 1136/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4506 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7656 Epoch 1137/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4505 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7604 Epoch 1138/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4504 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7604 Epoch 1139/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4504 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7604 Epoch 1140/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4504 - acc: 0.7899 - val_loss: 0.5152 - val_acc: 0.7604 Epoch 1141/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4504 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7604 Epoch 1142/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4503 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7604 Epoch 1143/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4503 - acc: 0.7899 - val_loss: 0.5152 - val_acc: 0.7604 Epoch 1144/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4502 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7604 Epoch 1145/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4501 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7604 Epoch 1146/1500 576/576 [==============================] - ETA: 0s - loss: 0.3776 - acc: 0.843 - 0s 92us/step - loss: 0.4502 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7604 Epoch 1147/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4501 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7604 Epoch 1148/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4501 - acc: 0.7899 - val_loss: 0.5152 - val_acc: 0.7604 Epoch 1149/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4501 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7604 Epoch 1150/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4501 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1151/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4500 - acc: 0.7899 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1152/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4500 - acc: 0.7899 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1153/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4499 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1154/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4499 - acc: 0.7899 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1155/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4498 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1156/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4498 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1157/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4498 - acc: 0.7899 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1158/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4498 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1159/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4497 - acc: 0.7899 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1160/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4497 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1161/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4496 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1162/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4496 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1163/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4496 - acc: 0.7917 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1164/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4495 - acc: 0.7899 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1165/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4495 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1166/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4494 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1167/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4494 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1168/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4494 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1169/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4494 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1170/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4493 - acc: 0.7899 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1171/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4493 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1172/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4492 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1173/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4492 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1174/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4492 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1175/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4492 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1176/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4492 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1177/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4491 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1178/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4491 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1179/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4490 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1180/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4490 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1181/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4490 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1182/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4490 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1183/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4489 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1184/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4489 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1185/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4488 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1186/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4488 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1187/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4488 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1188/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4487 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1189/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4487 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1190/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4487 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1191/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4487 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1192/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4486 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1193/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4486 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1194/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4485 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1195/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4485 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1196/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4485 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1197/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4485 - acc: 0.7899 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1198/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4484 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1199/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4485 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1200/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4484 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1201/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4483 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1202/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4483 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1203/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4483 - acc: 0.7899 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1204/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4483 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1205/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4482 - acc: 0.7899 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1206/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4482 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1207/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4482 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1208/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4481 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1209/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4482 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1210/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4481 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1211/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4481 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1212/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4481 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1213/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4480 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1214/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4479 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1215/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4479 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1216/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4479 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1217/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4478 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1218/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4478 - acc: 0.7917 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1219/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4479 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1220/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4477 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1221/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4477 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1222/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4477 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1223/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4476 - acc: 0.7934 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1224/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4477 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1225/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4476 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1226/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4476 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1227/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4475 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1228/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4475 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1229/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4474 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1230/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4474 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1231/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4474 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1232/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4474 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1233/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4474 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1234/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4473 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1235/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4473 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1236/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4472 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1237/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4472 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1238/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4472 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1239/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4472 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1240/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4472 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1241/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4472 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1242/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4471 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1243/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4471 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1244/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4471 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1245/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4470 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1246/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4469 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1247/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4469 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1248/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4469 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1249/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4469 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1250/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4469 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1251/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4469 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1252/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4468 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1253/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4468 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1254/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4468 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1255/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4468 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1256/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4467 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1257/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4466 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1258/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4467 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1259/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4466 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1260/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4466 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1261/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4466 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1262/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4466 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1263/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4465 - acc: 0.7951 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1264/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4465 - acc: 0.7951 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1265/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4465 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1266/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4464 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1267/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4464 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1268/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4464 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1269/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4463 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1270/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4463 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1271/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4463 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1272/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4462 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1273/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4462 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1274/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4462 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1275/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4461 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1276/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4461 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1277/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4461 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1278/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4460 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1279/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4460 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1280/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4460 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1281/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4460 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1282/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4459 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1283/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4459 - acc: 0.7917 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1284/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4458 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1285/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4458 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1286/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4458 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1287/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4458 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1288/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4457 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1289/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4457 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1290/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4457 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1291/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4456 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1292/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4456 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1293/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4455 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1294/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4455 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1295/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4455 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1296/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4455 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1297/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4454 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1298/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4454 - acc: 0.7951 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1299/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4454 - acc: 0.7917 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1300/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4453 - acc: 0.7934 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1301/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4453 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1302/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4453 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1303/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4452 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1304/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4452 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1305/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4452 - acc: 0.7934 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1306/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4452 - acc: 0.7951 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1307/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4451 - acc: 0.7917 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1308/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4452 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1309/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4451 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1310/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4450 - acc: 0.7951 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1311/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4450 - acc: 0.7951 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1312/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4450 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1313/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4449 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1314/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4449 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1315/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4449 - acc: 0.7934 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1316/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4449 - acc: 0.7934 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1317/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4448 - acc: 0.7934 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1318/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4448 - acc: 0.7934 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1319/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4448 - acc: 0.7934 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1320/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4448 - acc: 0.7951 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1321/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4447 - acc: 0.7917 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1322/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4447 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1323/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4447 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1324/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4446 - acc: 0.7917 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1325/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4446 - acc: 0.7951 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1326/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4446 - acc: 0.7951 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1327/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4446 - acc: 0.7934 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1328/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4445 - acc: 0.7951 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1329/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4445 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1330/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4444 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1331/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4444 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1332/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4444 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1333/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4444 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1334/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4444 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1335/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4443 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1336/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4443 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1337/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4443 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1338/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4442 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1339/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4442 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1340/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4443 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1341/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4441 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1342/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4441 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1343/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4441 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1344/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4441 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1345/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4441 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1346/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4440 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1347/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4441 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1348/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4440 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1349/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4439 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1350/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4439 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1351/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4439 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1352/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4438 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1353/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4439 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1354/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4437 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1355/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4438 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1356/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4437 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1357/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4437 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1358/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4438 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1359/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4437 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1360/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4437 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1361/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4436 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1362/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4436 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1363/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4435 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1364/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4435 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1365/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4434 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1366/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4434 - acc: 0.7934 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1367/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4435 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1368/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4434 - acc: 0.7951 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1369/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4434 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1370/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4434 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1371/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4433 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1372/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4433 - acc: 0.7951 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1373/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4433 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1374/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4433 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1375/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4432 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1376/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4432 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1377/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4431 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1378/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4431 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1379/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4431 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1380/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4431 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1381/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4431 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1382/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4430 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1383/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4430 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1384/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4429 - acc: 0.7934 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1385/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4429 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1386/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4429 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1387/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4429 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1388/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4428 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1389/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4428 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1390/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4428 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1391/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4428 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1392/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4427 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1393/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4427 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1394/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4427 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7500 Epoch 1395/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4426 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7500 Epoch 1396/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4426 - acc: 0.7934 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1397/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4427 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1398/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4425 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1399/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4425 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1400/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4425 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1401/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4424 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1402/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4425 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1403/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4424 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1404/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4423 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1405/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4423 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1406/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4423 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1407/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4423 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1408/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4423 - acc: 0.7934 - val_loss: 0.5154 - val_acc: 0.7552 Epoch 1409/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4423 - acc: 0.7934 - val_loss: 0.5154 - val_acc: 0.7500 Epoch 1410/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4422 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7500 Epoch 1411/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4422 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1412/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4421 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7500 Epoch 1413/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4422 - acc: 0.7934 - val_loss: 0.5154 - val_acc: 0.7500 Epoch 1414/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4421 - acc: 0.7934 - val_loss: 0.5154 - val_acc: 0.7500 Epoch 1415/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4421 - acc: 0.7934 - val_loss: 0.5153 - val_acc: 0.7500 Epoch 1416/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4421 - acc: 0.7934 - val_loss: 0.5154 - val_acc: 0.7552 Epoch 1417/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4420 - acc: 0.7934 - val_loss: 0.5154 - val_acc: 0.7500 Epoch 1418/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4420 - acc: 0.7934 - val_loss: 0.5154 - val_acc: 0.7552 Epoch 1419/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4420 - acc: 0.7951 - val_loss: 0.5154 - val_acc: 0.7552 Epoch 1420/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4419 - acc: 0.7934 - val_loss: 0.5154 - val_acc: 0.7552 Epoch 1421/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4419 - acc: 0.7934 - val_loss: 0.5154 - val_acc: 0.7552 Epoch 1422/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4419 - acc: 0.7934 - val_loss: 0.5154 - val_acc: 0.7552 Epoch 1423/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4418 - acc: 0.7934 - val_loss: 0.5155 - val_acc: 0.7552 Epoch 1424/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4418 - acc: 0.7934 - val_loss: 0.5155 - val_acc: 0.7500 Epoch 1425/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4417 - acc: 0.7934 - val_loss: 0.5155 - val_acc: 0.7552 Epoch 1426/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4418 - acc: 0.7934 - val_loss: 0.5155 - val_acc: 0.7552 Epoch 1427/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4418 - acc: 0.7934 - val_loss: 0.5155 - val_acc: 0.7552 Epoch 1428/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4417 - acc: 0.7951 - val_loss: 0.5155 - val_acc: 0.7552 Epoch 1429/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4417 - acc: 0.7934 - val_loss: 0.5155 - val_acc: 0.7552 Epoch 1430/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4417 - acc: 0.7934 - val_loss: 0.5155 - val_acc: 0.7552 Epoch 1431/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4416 - acc: 0.7951 - val_loss: 0.5155 - val_acc: 0.7500 Epoch 1432/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4415 - acc: 0.7934 - val_loss: 0.5155 - val_acc: 0.7500 Epoch 1433/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4415 - acc: 0.7951 - val_loss: 0.5155 - val_acc: 0.7500 Epoch 1434/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4415 - acc: 0.7934 - val_loss: 0.5156 - val_acc: 0.7500 Epoch 1435/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4415 - acc: 0.7951 - val_loss: 0.5156 - val_acc: 0.7500 Epoch 1436/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4415 - acc: 0.7969 - val_loss: 0.5155 - val_acc: 0.7500 Epoch 1437/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4414 - acc: 0.7951 - val_loss: 0.5155 - val_acc: 0.7500 Epoch 1438/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4414 - acc: 0.7951 - val_loss: 0.5156 - val_acc: 0.7500 Epoch 1439/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4414 - acc: 0.7951 - val_loss: 0.5155 - val_acc: 0.7500 Epoch 1440/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4414 - acc: 0.7951 - val_loss: 0.5156 - val_acc: 0.7500 Epoch 1441/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4413 - acc: 0.7951 - val_loss: 0.5156 - val_acc: 0.7500 Epoch 1442/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4413 - acc: 0.7951 - val_loss: 0.5156 - val_acc: 0.7500 Epoch 1443/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4413 - acc: 0.7969 - val_loss: 0.5156 - val_acc: 0.7500 Epoch 1444/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4413 - acc: 0.7969 - val_loss: 0.5156 - val_acc: 0.7500 Epoch 1445/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4413 - acc: 0.7969 - val_loss: 0.5156 - val_acc: 0.7500 Epoch 1446/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4412 - acc: 0.7951 - val_loss: 0.5156 - val_acc: 0.7500 Epoch 1447/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4412 - acc: 0.7951 - val_loss: 0.5156 - val_acc: 0.7500 Epoch 1448/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4411 - acc: 0.7934 - val_loss: 0.5156 - val_acc: 0.7500 Epoch 1449/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4411 - acc: 0.7969 - val_loss: 0.5156 - val_acc: 0.7552 Epoch 1450/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4410 - acc: 0.7969 - val_loss: 0.5156 - val_acc: 0.7552 Epoch 1451/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4411 - acc: 0.7969 - val_loss: 0.5157 - val_acc: 0.7552 Epoch 1452/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4410 - acc: 0.7969 - val_loss: 0.5156 - val_acc: 0.7552 Epoch 1453/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4410 - acc: 0.7969 - val_loss: 0.5157 - val_acc: 0.7552 Epoch 1454/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4409 - acc: 0.7969 - val_loss: 0.5157 - val_acc: 0.7552 Epoch 1455/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4410 - acc: 0.7969 - val_loss: 0.5157 - val_acc: 0.7552 Epoch 1456/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4409 - acc: 0.7969 - val_loss: 0.5158 - val_acc: 0.7552 Epoch 1457/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4408 - acc: 0.7969 - val_loss: 0.5157 - val_acc: 0.7552 Epoch 1458/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4409 - acc: 0.7969 - val_loss: 0.5157 - val_acc: 0.7552 Epoch 1459/1500 576/576 [==============================] - 0s 120us/step - loss: 0.4408 - acc: 0.7969 - val_loss: 0.5157 - val_acc: 0.7552 Epoch 1460/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4408 - acc: 0.7969 - val_loss: 0.5158 - val_acc: 0.7552 Epoch 1461/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4408 - acc: 0.7969 - val_loss: 0.5158 - val_acc: 0.7552 Epoch 1462/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4408 - acc: 0.7969 - val_loss: 0.5158 - val_acc: 0.7552 Epoch 1463/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4407 - acc: 0.7969 - val_loss: 0.5158 - val_acc: 0.7552 Epoch 1464/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4406 - acc: 0.7969 - val_loss: 0.5158 - val_acc: 0.7552 Epoch 1465/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4406 - acc: 0.7969 - val_loss: 0.5158 - val_acc: 0.7552 Epoch 1466/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4406 - acc: 0.7969 - val_loss: 0.5159 - val_acc: 0.7552 Epoch 1467/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4406 - acc: 0.7969 - val_loss: 0.5159 - val_acc: 0.7500 Epoch 1468/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4405 - acc: 0.7969 - val_loss: 0.5159 - val_acc: 0.7500 Epoch 1469/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4405 - acc: 0.7969 - val_loss: 0.5159 - val_acc: 0.7500 Epoch 1470/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4405 - acc: 0.7969 - val_loss: 0.5159 - val_acc: 0.7500 Epoch 1471/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4404 - acc: 0.7969 - val_loss: 0.5159 - val_acc: 0.7500 Epoch 1472/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4404 - acc: 0.7969 - val_loss: 0.5160 - val_acc: 0.7552 Epoch 1473/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4404 - acc: 0.7969 - val_loss: 0.5160 - val_acc: 0.7552 Epoch 1474/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4404 - acc: 0.7969 - val_loss: 0.5160 - val_acc: 0.7552 Epoch 1475/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4404 - acc: 0.7969 - val_loss: 0.5160 - val_acc: 0.7500 Epoch 1476/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4403 - acc: 0.7969 - val_loss: 0.5160 - val_acc: 0.7500 Epoch 1477/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4403 - acc: 0.7969 - val_loss: 0.5160 - val_acc: 0.7500 Epoch 1478/1500 576/576 [==============================] - 0s 87us/step - loss: 0.4403 - acc: 0.7969 - val_loss: 0.5160 - val_acc: 0.7500 Epoch 1479/1500 576/576 [==============================] - 0s 71us/step - loss: 0.4403 - acc: 0.7969 - val_loss: 0.5160 - val_acc: 0.7500 Epoch 1480/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4403 - acc: 0.7969 - val_loss: 0.5161 - val_acc: 0.7500 Epoch 1481/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4402 - acc: 0.7969 - val_loss: 0.5161 - val_acc: 0.7500 Epoch 1482/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4402 - acc: 0.7969 - val_loss: 0.5161 - val_acc: 0.7500 Epoch 1483/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4401 - acc: 0.7969 - val_loss: 0.5161 - val_acc: 0.7500 Epoch 1484/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4401 - acc: 0.7969 - val_loss: 0.5161 - val_acc: 0.7500 Epoch 1485/1500 576/576 [==============================] - 0s 80us/step - loss: 0.4401 - acc: 0.7969 - val_loss: 0.5161 - val_acc: 0.7500 Epoch 1486/1500 576/576 [==============================] - 0s 73us/step - loss: 0.4401 - acc: 0.7969 - val_loss: 0.5161 - val_acc: 0.7500 Epoch 1487/1500 576/576 [==============================] - 0s 82us/step - loss: 0.4401 - acc: 0.7969 - val_loss: 0.5162 - val_acc: 0.7500 Epoch 1488/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4400 - acc: 0.7969 - val_loss: 0.5162 - val_acc: 0.7500 Epoch 1489/1500 576/576 [==============================] - 0s 69us/step - loss: 0.4399 - acc: 0.7969 - val_loss: 0.5161 - val_acc: 0.7500 Epoch 1490/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4399 - acc: 0.7969 - val_loss: 0.5161 - val_acc: 0.7500 Epoch 1491/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4399 - acc: 0.7969 - val_loss: 0.5162 - val_acc: 0.7500 Epoch 1492/1500 576/576 [==============================] - 0s 85us/step - loss: 0.4399 - acc: 0.7969 - val_loss: 0.5162 - val_acc: 0.7500 Epoch 1493/1500 576/576 [==============================] - 0s 76us/step - loss: 0.4399 - acc: 0.7969 - val_loss: 0.5162 - val_acc: 0.7500 Epoch 1494/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4398 - acc: 0.7969 - val_loss: 0.5162 - val_acc: 0.7500 Epoch 1495/1500 576/576 [==============================] - 0s 83us/step - loss: 0.4398 - acc: 0.7969 - val_loss: 0.5162 - val_acc: 0.7500 Epoch 1496/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4398 - acc: 0.7986 - val_loss: 0.5163 - val_acc: 0.7500 Epoch 1497/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4398 - acc: 0.7969 - val_loss: 0.5162 - val_acc: 0.7500 Epoch 1498/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4397 - acc: 0.7969 - val_loss: 0.5163 - val_acc: 0.7500 Epoch 1499/1500 576/576 [==============================] - 0s 75us/step - loss: 0.4397 - acc: 0.7969 - val_loss: 0.5163 - val_acc: 0.7500 Epoch 1500/1500 576/576 [==============================] - 0s 78us/step - loss: 0.4397 - acc: 0.7969 - val_loss: 0.5163 - val_acc: 0.7500
Out[24]:
4
In [25]:
# predict the classes and the probabilitisty scores.
y_pred_class_nn_ex = model_ex.predict_classes(X_test_norm)
y_pred_prob_nn_ex = model_ex.predict(X_test_norm)
In [26]:
#Graph the trajectory of the loss functions, accuracy on both train and test set
fig, ax = plt.subplots() #set the axes and difference the canvas
ax.plot(run_hist_ex.history["loss"],'r', label="Train Loss") #plot the loss from the history object since it comes in a form of a dict we can access the values via their keys
ax.plot(run_hist_ex.history["val_loss"],'b', label="Validation Loss")
ax.legend()
plt.title('Loss Train and Test')
plt.figure(2)#set the second canvas
#plot the accuracy from the history object since it comes in a form of a dict we can access the values via their keys
plt.plot(run_hist_ex.history['acc'], 'g', label='train accuracy')
plt.plot(run_hist_ex.history['val_acc'],'y', label='validation accuracy')
plt.title('Accuracy Train and Test')
plt.legend()
Out[26]:
<matplotlib.legend.Legend at 0x212a02b0f98>
if we have to pick a good epoch value from these two plot above we can easily point at 200, because after that the model makes no more positive changes
In [27]:
print('accuracy is {:.3f}'.format(accuracy_score(y_test,y_pred_class_nn_ex)))
print('roc-auc is {:.3f}'.format(roc_auc_score(y_test,y_pred_prob_nn_ex)))
plot_roc(y_test, y_pred_prob_nn_ex, 'NN')
accuracy is 0.750 roc-auc is 0.800
and the our classifier doesn't look bad! and the fact its not close to the dianol line it indicates that our model knows what it doing.
In [28]:
File "<ipython-input-28-c88214b542f3>", line 1 df k ^ SyntaxError: invalid syntax
EXPERIMENT¶
WE'RE GOING TO CREATE FUNCTIONS THAT WE CAN PLAY WITH :)
In [52]:
def experiment(n_nodes, epoch, learning_rate, final_layer_activation):
'''this function initialize a ANN and calculates the scores, then returns a list of model performance(history, y_predic_class, and probabilities)'''
#Initialize the model
model = Sequential([
Dense(n_nodes, input_shape=(8,), activation="relu"),
Dense(n_nodes, activation="relu"),
Dense(1, activation=final_layer_activation)
])
#compile the model
model.compile(SGD(lr = learning_rate), "binary_crossentropy", metrics=["accuracy"])
#train the model
hist = model.fit(X_train_norm, y_train, validation_data=(X_test_norm, y_test), epochs=epoch)
#predictions
y_pred_class = model.predict_classes(X_test_norm)
y_pred_prob = model.predict(X_test_norm)
return [hist, y_pred_class, y_pred_prob]
In [53]:
X_train.shape
Out[53]:
(576, 8)
In [63]:
model = experiment(12, 10, .003, 'relu')
Train on 576 samples, validate on 192 samples Epoch 1/10 576/576 [==============================] - 1s 2ms/step - loss: 3.3748 - acc: 0.6319 - val_loss: 2.4445 - val_acc: 0.6354 Epoch 2/10 576/576 [==============================] - 0s 95us/step - loss: 2.5209 - acc: 0.6285 - val_loss: 1.5796 - val_acc: 0.6510 Epoch 3/10 576/576 [==============================] - 0s 95us/step - loss: 1.3467 - acc: 0.6406 - val_loss: 0.9023 - val_acc: 0.6927 Epoch 4/10 576/576 [==============================] - 0s 99us/step - loss: 1.0170 - acc: 0.6632 - val_loss: 0.8878 - val_acc: 0.7031 Epoch 5/10 576/576 [==============================] - 0s 92us/step - loss: 0.9036 - acc: 0.6562 - val_loss: 0.8723 - val_acc: 0.7188 Epoch 6/10 576/576 [==============================] - 0s 94us/step - loss: 0.8856 - acc: 0.6615 - val_loss: 0.8686 - val_acc: 0.7135 Epoch 7/10 576/576 [==============================] - 0s 88us/step - loss: 0.8756 - acc: 0.6771 - val_loss: 0.7983 - val_acc: 0.7240 Epoch 8/10 576/576 [==============================] - 0s 99us/step - loss: 0.8673 - acc: 0.6753 - val_loss: 0.7905 - val_acc: 0.7240 Epoch 9/10 576/576 [==============================] - 0s 106us/step - loss: 0.8308 - acc: 0.6823 - val_loss: 0.6445 - val_acc: 0.7292 Epoch 10/10 576/576 [==============================] - 0s 128us/step - loss: 0.6995 - acc: 0.6910 - val_loss: 0.6387 - val_acc: 0.7240
In [31]:
def plot_experiment(model):
'''this function plots the trajectory of accuracy and loss'''
plt.figure()
#plot the accuracy from the history object since it comes in a form of a dict we can access the values via their keys
plt.plot(model[0].history['acc'], 'g', label='train accuracy')
plt.plot(model[0].history['val_acc'],'y', label='validation accuracy')
plt.title('Accuracy Train and Test')
plt.legend()
fig,ax = plt.subplots()
#plot the Loss from the history object since it comes in a form of a dict we can access the values via their keys
ax.plot(model[0].history["loss"],'r', label="Train Loss")
ax.plot(model[0].history["val_loss"],'b', label="Validation Loss")
ax.legend()
plt.title('Loss Train and Test')
In [64]:
plot_experiment(model)
In [65]:
print('accuracy is {:.3f}'.format(accuracy_score(y_test,model[1])))
print('roc-auc is {:.3f}'.format(roc_auc_score(y_test,model[2])))
plot_roc(y_test, model[2], 'NN')
accuracy is 0.724 roc-auc is 0.735
In [66]:
recify linear unit for the hidden layer and
File "<ipython-input-66-f70849914d2e>", line 1 recify linear unit for the hidden layer and ^ SyntaxError: invalid syntax
In [67]:
model = experiment(32, 10, .003, 'relu')
plot_experiment(model)
print('accuracy is {:.3f}'.format(accuracy_score(y_test,model[1])))
print('roc-auc is {:.3f}'.format(roc_auc_score(y_test,model[2])))
plot_roc(y_test, model[2], 'NN')
Train on 576 samples, validate on 192 samples Epoch 1/10 576/576 [==============================] - 1s 2ms/step - loss: 1.8006 - acc: 0.6562 - val_loss: 1.3142 - val_acc: 0.5833 Epoch 2/10 576/576 [==============================] - 0s 95us/step - loss: 1.1452 - acc: 0.6632 - val_loss: 1.0992 - val_acc: 0.6042 Epoch 3/10 576/576 [==============================] - 0s 97us/step - loss: 0.9875 - acc: 0.6615 - val_loss: 0.7602 - val_acc: 0.6615 Epoch 4/10 576/576 [==============================] - 0s 113us/step - loss: 0.6845 - acc: 0.6944 - val_loss: 0.7017 - val_acc: 0.6510 Epoch 5/10 576/576 [==============================] - 0s 104us/step - loss: 0.6360 - acc: 0.7049 - val_loss: 0.6821 - val_acc: 0.6562 Epoch 6/10 576/576 [==============================] - 0s 94us/step - loss: 0.5966 - acc: 0.7049 - val_loss: 0.6637 - val_acc: 0.6562 Epoch 7/10 576/576 [==============================] - 0s 108us/step - loss: 0.5819 - acc: 0.7083 - val_loss: 0.6505 - val_acc: 0.6562 Epoch 8/10 576/576 [==============================] - 0s 108us/step - loss: 0.5705 - acc: 0.7135 - val_loss: 0.6397 - val_acc: 0.6562 Epoch 9/10 576/576 [==============================] - 0s 125us/step - loss: 0.5614 - acc: 0.7118 - val_loss: 0.6300 - val_acc: 0.6615 Epoch 10/10 576/576 [==============================] - 0s 128us/step - loss: 0.5497 - acc: 0.7135 - val_loss: 0.6534 - val_acc: 0.6927 accuracy is 0.693 roc-auc is 0.735
In [68]:
model = experiment(32, 10, .003, 'sigmoid')
plot_experiment(model)
print('accuracy is {:.3f}'.format(accuracy_score(y_test,model[1])))
print('roc-auc is {:.3f}'.format(roc_auc_score(y_test,model[2])))
plot_roc(y_test, model[2], 'NN')
Train on 576 samples, validate on 192 samples Epoch 1/10 576/576 [==============================] - 1s 2ms/step - loss: 0.6594 - acc: 0.6059 - val_loss: 0.6586 - val_acc: 0.6042 Epoch 2/10 576/576 [==============================] - 0s 116us/step - loss: 0.6500 - acc: 0.6198 - val_loss: 0.6512 - val_acc: 0.6198 Epoch 3/10 576/576 [==============================] - 0s 139us/step - loss: 0.6416 - acc: 0.6250 - val_loss: 0.6447 - val_acc: 0.6250 Epoch 4/10 576/576 [==============================] - 0s 109us/step - loss: 0.6339 - acc: 0.6424 - val_loss: 0.6387 - val_acc: 0.6250 Epoch 5/10 576/576 [==============================] - 0s 127us/step - loss: 0.6270 - acc: 0.6597 - val_loss: 0.6332 - val_acc: 0.6667 Epoch 6/10 576/576 [==============================] - 0s 113us/step - loss: 0.6207 - acc: 0.6597 - val_loss: 0.6282 - val_acc: 0.6667 Epoch 7/10 576/576 [==============================] - 0s 135us/step - loss: 0.6148 - acc: 0.6667 - val_loss: 0.6236 - val_acc: 0.6719 Epoch 8/10 576/576 [==============================] - 0s 134us/step - loss: 0.6094 - acc: 0.6771 - val_loss: 0.6193 - val_acc: 0.6771 Epoch 9/10 576/576 [==============================] - 0s 142us/step - loss: 0.6043 - acc: 0.6771 - val_loss: 0.6153 - val_acc: 0.6771 Epoch 10/10 576/576 [==============================] - 0s 108us/step - loss: 0.5996 - acc: 0.6875 - val_loss: 0.6115 - val_acc: 0.6771 accuracy is 0.677 roc-auc is 0.710
this is not too bad¶
In [70]:
model = experiment(32, 10, .003, 'sigmoid')
plot_experiment(model)
print('accuracy is {:.3f}'.format(accuracy_score(y_test,model[1])))
print('roc-auc is {:.3f}'.format(roc_auc_score(y_test,model[2])))
plot_roc(y_test, model[2], 'NN')
Train on 576 samples, validate on 192 samples Epoch 1/10 576/576 [==============================] - 2s 3ms/step - loss: 0.6984 - acc: 0.5000 - val_loss: 0.6835 - val_acc: 0.5156 Epoch 2/10 576/576 [==============================] - 0s 97us/step - loss: 0.6831 - acc: 0.5503 - val_loss: 0.6702 - val_acc: 0.5521 Epoch 3/10 576/576 [==============================] - 0s 104us/step - loss: 0.6698 - acc: 0.5903 - val_loss: 0.6585 - val_acc: 0.5990 Epoch 4/10 576/576 [==============================] - 0s 109us/step - loss: 0.6579 - acc: 0.6250 - val_loss: 0.6481 - val_acc: 0.6042 Epoch 5/10 576/576 [==============================] - 0s 134us/step - loss: 0.6473 - acc: 0.6441 - val_loss: 0.6387 - val_acc: 0.6250 Epoch 6/10 576/576 [==============================] - 0s 128us/step - loss: 0.6379 - acc: 0.6771 - val_loss: 0.6304 - val_acc: 0.6771 Epoch 7/10 576/576 [==============================] - 0s 108us/step - loss: 0.6294 - acc: 0.6927 - val_loss: 0.6229 - val_acc: 0.7083 Epoch 8/10 576/576 [==============================] - 0s 115us/step - loss: 0.6217 - acc: 0.7031 - val_loss: 0.6162 - val_acc: 0.7083 Epoch 9/10 576/576 [==============================] - 0s 111us/step - loss: 0.6148 - acc: 0.7049 - val_loss: 0.6101 - val_acc: 0.7031 Epoch 10/10 576/576 [==============================] - 0s 102us/step - loss: 0.6086 - acc: 0.7118 - val_loss: 0.6046 - val_acc: 0.7240 accuracy is 0.724 roc-auc is 0.776
getting better¶
In [71]:
model = experiment(32, 150, .003, 'sigmoid')
plot_experiment(model)
print('accuracy is {:.3f}'.format(accuracy_score(y_test,model[1])))
print('roc-auc is {:.3f}'.format(roc_auc_score(y_test,model[2])))
plot_roc(y_test, model[2], 'NN')
Train on 576 samples, validate on 192 samples Epoch 1/150 576/576 [==============================] - 1s 3ms/step - loss: 0.6562 - acc: 0.6545 - val_loss: 0.6755 - val_acc: 0.6406 Epoch 2/150 576/576 [==============================] - 0s 121us/step - loss: 0.6497 - acc: 0.6545 - val_loss: 0.6688 - val_acc: 0.6406 Epoch 3/150 576/576 [==============================] - 0s 99us/step - loss: 0.6437 - acc: 0.6545 - val_loss: 0.6625 - val_acc: 0.6406 Epoch 4/150 576/576 [==============================] - 0s 106us/step - loss: 0.6380 - acc: 0.6545 - val_loss: 0.6565 - val_acc: 0.6406 Epoch 5/150 576/576 [==============================] - 0s 111us/step - loss: 0.6326 - acc: 0.6545 - val_loss: 0.6510 - val_acc: 0.6406 Epoch 6/150 576/576 [==============================] - 0s 127us/step - loss: 0.6275 - acc: 0.6545 - val_loss: 0.6457 - val_acc: 0.6406 Epoch 7/150 576/576 [==============================] - 0s 106us/step - loss: 0.6226 - acc: 0.6545 - val_loss: 0.6406 - val_acc: 0.6406 Epoch 8/150 576/576 [==============================] - 0s 118us/step - loss: 0.6178 - acc: 0.6545 - val_loss: 0.6358 - val_acc: 0.6406 Epoch 9/150 576/576 [==============================] - 0s 108us/step - loss: 0.6133 - acc: 0.6545 - val_loss: 0.6312 - val_acc: 0.6406 Epoch 10/150 576/576 [==============================] - 0s 101us/step - loss: 0.6090 - acc: 0.6545 - val_loss: 0.6268 - val_acc: 0.6406 Epoch 11/150 576/576 [==============================] - 0s 99us/step - loss: 0.6048 - acc: 0.6545 - val_loss: 0.6225 - val_acc: 0.6406 Epoch 12/150 576/576 [==============================] - 0s 121us/step - loss: 0.6008 - acc: 0.6545 - val_loss: 0.6185 - val_acc: 0.6458 Epoch 13/150 576/576 [==============================] - 0s 108us/step - loss: 0.5971 - acc: 0.6562 - val_loss: 0.6147 - val_acc: 0.6458 Epoch 14/150 576/576 [==============================] - 0s 97us/step - loss: 0.5933 - acc: 0.6580 - val_loss: 0.6110 - val_acc: 0.6458 Epoch 15/150 576/576 [==============================] - 0s 97us/step - loss: 0.5898 - acc: 0.6597 - val_loss: 0.6075 - val_acc: 0.6458 Epoch 16/150 576/576 [==============================] - 0s 163us/step - loss: 0.5863 - acc: 0.6597 - val_loss: 0.6041 - val_acc: 0.6510 Epoch 17/150 576/576 [==============================] - 0s 95us/step - loss: 0.5830 - acc: 0.6632 - val_loss: 0.6009 - val_acc: 0.6510 Epoch 18/150 576/576 [==============================] - 0s 141us/step - loss: 0.5796 - acc: 0.6667 - val_loss: 0.5977 - val_acc: 0.6667 Epoch 19/150 576/576 [==============================] - 0s 132us/step - loss: 0.5764 - acc: 0.6615 - val_loss: 0.5946 - val_acc: 0.6667 Epoch 20/150 576/576 [==============================] - 0s 99us/step - loss: 0.5733 - acc: 0.6615 - val_loss: 0.5917 - val_acc: 0.6667 Epoch 21/150 576/576 [==============================] - 0s 102us/step - loss: 0.5703 - acc: 0.6649 - val_loss: 0.5888 - val_acc: 0.6667 Epoch 22/150 576/576 [==============================] - 0s 115us/step - loss: 0.5673 - acc: 0.6684 - val_loss: 0.5859 - val_acc: 0.6719 Epoch 23/150 576/576 [==============================] - 0s 104us/step - loss: 0.5644 - acc: 0.6736 - val_loss: 0.5832 - val_acc: 0.6823 Epoch 24/150 576/576 [==============================] - 0s 104us/step - loss: 0.5616 - acc: 0.6788 - val_loss: 0.5805 - val_acc: 0.6875 Epoch 25/150 576/576 [==============================] - 0s 111us/step - loss: 0.5588 - acc: 0.6806 - val_loss: 0.5779 - val_acc: 0.6875 Epoch 26/150 576/576 [==============================] - 0s 95us/step - loss: 0.5561 - acc: 0.6858 - val_loss: 0.5753 - val_acc: 0.6979 Epoch 27/150 576/576 [==============================] - 0s 106us/step - loss: 0.5536 - acc: 0.6910 - val_loss: 0.5729 - val_acc: 0.7135 Epoch 28/150 576/576 [==============================] - 0s 90us/step - loss: 0.5510 - acc: 0.6997 - val_loss: 0.5705 - val_acc: 0.7135 Epoch 29/150 576/576 [==============================] - 0s 118us/step - loss: 0.5485 - acc: 0.7031 - val_loss: 0.5682 - val_acc: 0.7188 Epoch 30/150 576/576 [==============================] - 0s 94us/step - loss: 0.5460 - acc: 0.7066 - val_loss: 0.5659 - val_acc: 0.7292 Epoch 31/150 576/576 [==============================] - 0s 104us/step - loss: 0.5437 - acc: 0.7031 - val_loss: 0.5637 - val_acc: 0.7240 Epoch 32/150 576/576 [==============================] - 0s 108us/step - loss: 0.5414 - acc: 0.7066 - val_loss: 0.5616 - val_acc: 0.7240 Epoch 33/150 576/576 [==============================] - 0s 102us/step - loss: 0.5391 - acc: 0.7066 - val_loss: 0.5596 - val_acc: 0.7188 Epoch 34/150 576/576 [==============================] - 0s 95us/step - loss: 0.5369 - acc: 0.7118 - val_loss: 0.5576 - val_acc: 0.7188 Epoch 35/150 576/576 [==============================] - 0s 128us/step - loss: 0.5348 - acc: 0.7101 - val_loss: 0.5557 - val_acc: 0.7188 Epoch 36/150 576/576 [==============================] - 0s 94us/step - loss: 0.5326 - acc: 0.7205 - val_loss: 0.5538 - val_acc: 0.7344 Epoch 37/150 576/576 [==============================] - 0s 99us/step - loss: 0.5306 - acc: 0.7309 - val_loss: 0.5519 - val_acc: 0.7240 Epoch 38/150 576/576 [==============================] - 0s 94us/step - loss: 0.5286 - acc: 0.7292 - val_loss: 0.5502 - val_acc: 0.7240 Epoch 39/150 576/576 [==============================] - 0s 139us/step - loss: 0.5266 - acc: 0.7292 - val_loss: 0.5484 - val_acc: 0.7240 Epoch 40/150 576/576 [==============================] - 0s 111us/step - loss: 0.5247 - acc: 0.7344 - val_loss: 0.5467 - val_acc: 0.7292 Epoch 41/150 576/576 [==============================] - 0s 104us/step - loss: 0.5228 - acc: 0.7326 - val_loss: 0.5451 - val_acc: 0.7292 Epoch 42/150 576/576 [==============================] - 0s 116us/step - loss: 0.5209 - acc: 0.7344 - val_loss: 0.5435 - val_acc: 0.7344 Epoch 43/150 576/576 [==============================] - 0s 142us/step - loss: 0.5192 - acc: 0.7344 - val_loss: 0.5419 - val_acc: 0.7344 Epoch 44/150 576/576 [==============================] - 0s 139us/step - loss: 0.5174 - acc: 0.7326 - val_loss: 0.5404 - val_acc: 0.7292 Epoch 45/150 576/576 [==============================] - 0s 135us/step - loss: 0.5157 - acc: 0.7378 - val_loss: 0.5389 - val_acc: 0.7292 Epoch 46/150 576/576 [==============================] - 0s 116us/step - loss: 0.5140 - acc: 0.7413 - val_loss: 0.5375 - val_acc: 0.7240 Epoch 47/150 576/576 [==============================] - 0s 109us/step - loss: 0.5123 - acc: 0.7378 - val_loss: 0.5361 - val_acc: 0.7292 Epoch 48/150 576/576 [==============================] - 0s 153us/step - loss: 0.5107 - acc: 0.7413 - val_loss: 0.5347 - val_acc: 0.7292 Epoch 49/150 576/576 [==============================] - 0s 130us/step - loss: 0.5091 - acc: 0.7448 - val_loss: 0.5334 - val_acc: 0.7292 Epoch 50/150 576/576 [==============================] - 0s 128us/step - loss: 0.5076 - acc: 0.7431 - val_loss: 0.5321 - val_acc: 0.7344 Epoch 51/150 576/576 [==============================] - 0s 151us/step - loss: 0.5061 - acc: 0.7431 - val_loss: 0.5309 - val_acc: 0.7396 Epoch 52/150 576/576 [==============================] - 0s 141us/step - loss: 0.5046 - acc: 0.7448 - val_loss: 0.5297 - val_acc: 0.7396 Epoch 53/150 576/576 [==============================] - 0s 198us/step - loss: 0.5031 - acc: 0.7500 - val_loss: 0.5286 - val_acc: 0.7344 Epoch 54/150 576/576 [==============================] - 0s 135us/step - loss: 0.5018 - acc: 0.7500 - val_loss: 0.5274 - val_acc: 0.7344 Epoch 55/150 576/576 [==============================] - 0s 109us/step - loss: 0.5004 - acc: 0.7500 - val_loss: 0.5264 - val_acc: 0.7344 Epoch 56/150 576/576 [==============================] - 0s 104us/step - loss: 0.4990 - acc: 0.7500 - val_loss: 0.5253 - val_acc: 0.7344 Epoch 57/150 576/576 [==============================] - 0s 95us/step - loss: 0.4977 - acc: 0.7517 - val_loss: 0.5243 - val_acc: 0.7396 Epoch 58/150 576/576 [==============================] - 0s 113us/step - loss: 0.4965 - acc: 0.7552 - val_loss: 0.5233 - val_acc: 0.7396 Epoch 59/150 576/576 [==============================] - 0s 135us/step - loss: 0.4952 - acc: 0.7552 - val_loss: 0.5224 - val_acc: 0.7396 Epoch 60/150 576/576 [==============================] - 0s 109us/step - loss: 0.4940 - acc: 0.7552 - val_loss: 0.5215 - val_acc: 0.7396 Epoch 61/150 576/576 [==============================] - 0s 134us/step - loss: 0.4929 - acc: 0.7552 - val_loss: 0.5206 - val_acc: 0.7396 Epoch 62/150 576/576 [==============================] - 0s 111us/step - loss: 0.4917 - acc: 0.7569 - val_loss: 0.5197 - val_acc: 0.7448 Epoch 63/150 576/576 [==============================] - 0s 130us/step - loss: 0.4906 - acc: 0.7587 - val_loss: 0.5188 - val_acc: 0.7448 Epoch 64/150 576/576 [==============================] - 0s 180us/step - loss: 0.4895 - acc: 0.7552 - val_loss: 0.5180 - val_acc: 0.7448 Epoch 65/150 576/576 [==============================] - 0s 168us/step - loss: 0.4884 - acc: 0.7552 - val_loss: 0.5173 - val_acc: 0.7448 Epoch 66/150 576/576 [==============================] - 0s 156us/step - loss: 0.4873 - acc: 0.7569 - val_loss: 0.5165 - val_acc: 0.7500 Epoch 67/150 576/576 [==============================] - 0s 147us/step - loss: 0.4863 - acc: 0.7604 - val_loss: 0.5158 - val_acc: 0.7552 Epoch 68/150 576/576 [==============================] - 0s 127us/step - loss: 0.4853 - acc: 0.7604 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 69/150 576/576 [==============================] - 0s 135us/step - loss: 0.4843 - acc: 0.7639 - val_loss: 0.5144 - val_acc: 0.7552 Epoch 70/150 576/576 [==============================] - 0s 101us/step - loss: 0.4834 - acc: 0.7622 - val_loss: 0.5137 - val_acc: 0.7500 Epoch 71/150 576/576 [==============================] - 0s 99us/step - loss: 0.4825 - acc: 0.7656 - val_loss: 0.5131 - val_acc: 0.7448 Epoch 72/150 576/576 [==============================] - 0s 108us/step - loss: 0.4816 - acc: 0.7639 - val_loss: 0.5125 - val_acc: 0.7448 Epoch 73/150 576/576 [==============================] - 0s 151us/step - loss: 0.4806 - acc: 0.7674 - val_loss: 0.5119 - val_acc: 0.7448 Epoch 74/150 576/576 [==============================] - 0s 127us/step - loss: 0.4798 - acc: 0.7656 - val_loss: 0.5113 - val_acc: 0.7448 Epoch 75/150 576/576 [==============================] - 0s 108us/step - loss: 0.4789 - acc: 0.7656 - val_loss: 0.5108 - val_acc: 0.7448 Epoch 76/150 576/576 [==============================] - 0s 141us/step - loss: 0.4780 - acc: 0.7674 - val_loss: 0.5102 - val_acc: 0.7448 Epoch 77/150 576/576 [==============================] - 0s 128us/step - loss: 0.4772 - acc: 0.7691 - val_loss: 0.5097 - val_acc: 0.7448 Epoch 78/150 576/576 [==============================] - 0s 160us/step - loss: 0.4764 - acc: 0.7708 - val_loss: 0.5092 - val_acc: 0.7500 Epoch 79/150 576/576 [==============================] - 0s 142us/step - loss: 0.4756 - acc: 0.7726 - val_loss: 0.5087 - val_acc: 0.7552 Epoch 80/150 576/576 [==============================] - 0s 108us/step - loss: 0.4749 - acc: 0.7726 - val_loss: 0.5083 - val_acc: 0.7552 Epoch 81/150 576/576 [==============================] - 0s 127us/step - loss: 0.4741 - acc: 0.7726 - val_loss: 0.5078 - val_acc: 0.7604 Epoch 82/150 576/576 [==============================] - 0s 120us/step - loss: 0.4733 - acc: 0.7760 - val_loss: 0.5074 - val_acc: 0.7604 Epoch 83/150 576/576 [==============================] - 0s 111us/step - loss: 0.4726 - acc: 0.7812 - val_loss: 0.5069 - val_acc: 0.7604 Epoch 84/150 576/576 [==============================] - 0s 142us/step - loss: 0.4719 - acc: 0.7795 - val_loss: 0.5065 - val_acc: 0.7604 Epoch 85/150 576/576 [==============================] - 0s 142us/step - loss: 0.4712 - acc: 0.7795 - val_loss: 0.5061 - val_acc: 0.7604 Epoch 86/150 576/576 [==============================] - 0s 135us/step - loss: 0.4705 - acc: 0.7812 - val_loss: 0.5058 - val_acc: 0.7604 Epoch 87/150 576/576 [==============================] - 0s 144us/step - loss: 0.4698 - acc: 0.7847 - val_loss: 0.5054 - val_acc: 0.7604 Epoch 88/150 576/576 [==============================] - 0s 109us/step - loss: 0.4692 - acc: 0.7865 - val_loss: 0.5050 - val_acc: 0.7604 Epoch 89/150 576/576 [==============================] - 0s 125us/step - loss: 0.4685 - acc: 0.7865 - val_loss: 0.5047 - val_acc: 0.7604 Epoch 90/150 576/576 [==============================] - 0s 149us/step - loss: 0.4679 - acc: 0.7865 - val_loss: 0.5044 - val_acc: 0.7604 Epoch 91/150 576/576 [==============================] - 0s 132us/step - loss: 0.4673 - acc: 0.7865 - val_loss: 0.5040 - val_acc: 0.7604 Epoch 92/150 576/576 [==============================] - 0s 146us/step - loss: 0.4666 - acc: 0.7865 - val_loss: 0.5037 - val_acc: 0.7604 Epoch 93/150 576/576 [==============================] - 0s 115us/step - loss: 0.4661 - acc: 0.7865 - val_loss: 0.5034 - val_acc: 0.7604 Epoch 94/150 576/576 [==============================] - 0s 116us/step - loss: 0.4655 - acc: 0.7865 - val_loss: 0.5032 - val_acc: 0.7604 Epoch 95/150 576/576 [==============================] - 0s 111us/step - loss: 0.4649 - acc: 0.7865 - val_loss: 0.5029 - val_acc: 0.7604 Epoch 96/150 576/576 [==============================] - 0s 116us/step - loss: 0.4643 - acc: 0.7847 - val_loss: 0.5026 - val_acc: 0.7604 Epoch 97/150 576/576 [==============================] - 0s 127us/step - loss: 0.4637 - acc: 0.7830 - val_loss: 0.5024 - val_acc: 0.7604 Epoch 98/150 576/576 [==============================] - 0s 165us/step - loss: 0.4632 - acc: 0.7830 - val_loss: 0.5021 - val_acc: 0.7604 Epoch 99/150 576/576 [==============================] - 0s 149us/step - loss: 0.4627 - acc: 0.7847 - val_loss: 0.5019 - val_acc: 0.7604 Epoch 100/150 576/576 [==============================] - 0s 108us/step - loss: 0.4621 - acc: 0.7830 - val_loss: 0.5017 - val_acc: 0.7604 Epoch 101/150 576/576 [==============================] - 0s 132us/step - loss: 0.4616 - acc: 0.7830 - val_loss: 0.5014 - val_acc: 0.7604 Epoch 102/150 576/576 [==============================] - 0s 102us/step - loss: 0.4611 - acc: 0.7812 - val_loss: 0.5012 - val_acc: 0.7604 Epoch 103/150 576/576 [==============================] - 0s 118us/step - loss: 0.4607 - acc: 0.7830 - val_loss: 0.5010 - val_acc: 0.7604 Epoch 104/150 576/576 [==============================] - 0s 106us/step - loss: 0.4602 - acc: 0.7830 - val_loss: 0.5009 - val_acc: 0.7604 Epoch 105/150 576/576 [==============================] - 0s 101us/step - loss: 0.4597 - acc: 0.7830 - val_loss: 0.5007 - val_acc: 0.7604 Epoch 106/150 576/576 [==============================] - 0s 135us/step - loss: 0.4593 - acc: 0.7812 - val_loss: 0.5005 - val_acc: 0.7604 Epoch 107/150 576/576 [==============================] - 0s 118us/step - loss: 0.4588 - acc: 0.7778 - val_loss: 0.5003 - val_acc: 0.7604 Epoch 108/150 576/576 [==============================] - 0s 115us/step - loss: 0.4583 - acc: 0.7795 - val_loss: 0.5002 - val_acc: 0.7604 Epoch 109/150 576/576 [==============================] - 0s 125us/step - loss: 0.4579 - acc: 0.7778 - val_loss: 0.5000 - val_acc: 0.7552 Epoch 110/150 576/576 [==============================] - 0s 132us/step - loss: 0.4575 - acc: 0.7778 - val_loss: 0.4999 - val_acc: 0.7552 Epoch 111/150 576/576 [==============================] - 0s 118us/step - loss: 0.4571 - acc: 0.7760 - val_loss: 0.4997 - val_acc: 0.7552 Epoch 112/150 576/576 [==============================] - 0s 132us/step - loss: 0.4566 - acc: 0.7760 - val_loss: 0.4996 - val_acc: 0.7552 Epoch 113/150 576/576 [==============================] - 0s 118us/step - loss: 0.4562 - acc: 0.7760 - val_loss: 0.4995 - val_acc: 0.7552 Epoch 114/150 576/576 [==============================] - 0s 123us/step - loss: 0.4559 - acc: 0.7743 - val_loss: 0.4993 - val_acc: 0.7552 Epoch 115/150 576/576 [==============================] - 0s 170us/step - loss: 0.4555 - acc: 0.7760 - val_loss: 0.4992 - val_acc: 0.7552 Epoch 116/150 576/576 [==============================] - 0s 104us/step - loss: 0.4551 - acc: 0.7760 - val_loss: 0.4991 - val_acc: 0.7552 Epoch 117/150 576/576 [==============================] - 0s 102us/step - loss: 0.4547 - acc: 0.7743 - val_loss: 0.4990 - val_acc: 0.7552 Epoch 118/150 576/576 [==============================] - 0s 132us/step - loss: 0.4543 - acc: 0.7743 - val_loss: 0.4989 - val_acc: 0.7552 Epoch 119/150 576/576 [==============================] - 0s 111us/step - loss: 0.4540 - acc: 0.7743 - val_loss: 0.4988 - val_acc: 0.7552 Epoch 120/150 576/576 [==============================] - 0s 111us/step - loss: 0.4536 - acc: 0.7743 - val_loss: 0.4987 - val_acc: 0.7500 Epoch 121/150 576/576 [==============================] - 0s 106us/step - loss: 0.4533 - acc: 0.7743 - val_loss: 0.4986 - val_acc: 0.7500 Epoch 122/150 576/576 [==============================] - 0s 149us/step - loss: 0.4529 - acc: 0.7743 - val_loss: 0.4985 - val_acc: 0.7500 Epoch 123/150 576/576 [==============================] - 0s 118us/step - loss: 0.4526 - acc: 0.7743 - val_loss: 0.4985 - val_acc: 0.7500 Epoch 124/150 576/576 [==============================] - 0s 108us/step - loss: 0.4522 - acc: 0.7743 - val_loss: 0.4984 - val_acc: 0.7500 Epoch 125/150 576/576 [==============================] - 0s 158us/step - loss: 0.4518 - acc: 0.7743 - val_loss: 0.4984 - val_acc: 0.7552 Epoch 126/150 576/576 [==============================] - 0s 108us/step - loss: 0.4515 - acc: 0.7743 - val_loss: 0.4983 - val_acc: 0.7552 Epoch 127/150 576/576 [==============================] - 0s 127us/step - loss: 0.4512 - acc: 0.7743 - val_loss: 0.4983 - val_acc: 0.7552 Epoch 128/150 576/576 [==============================] - 0s 141us/step - loss: 0.4509 - acc: 0.7760 - val_loss: 0.4982 - val_acc: 0.7552 Epoch 129/150 576/576 [==============================] - 0s 128us/step - loss: 0.4506 - acc: 0.7743 - val_loss: 0.4982 - val_acc: 0.7552 Epoch 130/150 576/576 [==============================] - 0s 149us/step - loss: 0.4503 - acc: 0.7760 - val_loss: 0.4981 - val_acc: 0.7552 Epoch 131/150 576/576 [==============================] - 0s 135us/step - loss: 0.4500 - acc: 0.7760 - val_loss: 0.4981 - val_acc: 0.7500 Epoch 132/150 576/576 [==============================] - 0s 120us/step - loss: 0.4497 - acc: 0.7760 - val_loss: 0.4980 - val_acc: 0.7500 Epoch 133/150 576/576 [==============================] - 0s 130us/step - loss: 0.4494 - acc: 0.7760 - val_loss: 0.4980 - val_acc: 0.7500 Epoch 134/150 576/576 [==============================] - 0s 141us/step - loss: 0.4491 - acc: 0.7778 - val_loss: 0.4980 - val_acc: 0.7500 Epoch 135/150 576/576 [==============================] - ETA: 0s - loss: 0.4344 - acc: 0.787 - 0s 137us/step - loss: 0.4489 - acc: 0.7778 - val_loss: 0.4980 - val_acc: 0.7552 Epoch 136/150 576/576 [==============================] - 0s 149us/step - loss: 0.4486 - acc: 0.7778 - val_loss: 0.4980 - val_acc: 0.7552 Epoch 137/150 576/576 [==============================] - 0s 151us/step - loss: 0.4483 - acc: 0.7778 - val_loss: 0.4980 - val_acc: 0.7552 Epoch 138/150 576/576 [==============================] - 0s 142us/step - loss: 0.4480 - acc: 0.7760 - val_loss: 0.4980 - val_acc: 0.7552 Epoch 139/150 576/576 [==============================] - 0s 141us/step - loss: 0.4477 - acc: 0.7778 - val_loss: 0.4980 - val_acc: 0.7604 Epoch 140/150 576/576 [==============================] - 0s 135us/step - loss: 0.4475 - acc: 0.7760 - val_loss: 0.4980 - val_acc: 0.7604 Epoch 141/150 576/576 [==============================] - 0s 116us/step - loss: 0.4472 - acc: 0.7760 - val_loss: 0.4980 - val_acc: 0.7604 Epoch 142/150 576/576 [==============================] - 0s 115us/step - loss: 0.4469 - acc: 0.7743 - val_loss: 0.4980 - val_acc: 0.7604 Epoch 143/150 576/576 [==============================] - 0s 113us/step - loss: 0.4467 - acc: 0.7760 - val_loss: 0.4980 - val_acc: 0.7604 Epoch 144/150 576/576 [==============================] - 0s 137us/step - loss: 0.4464 - acc: 0.7778 - val_loss: 0.4980 - val_acc: 0.7552 Epoch 145/150 576/576 [==============================] - 0s 127us/step - loss: 0.4462 - acc: 0.7760 - val_loss: 0.4980 - val_acc: 0.7552 Epoch 146/150 576/576 [==============================] - 0s 153us/step - loss: 0.4459 - acc: 0.7778 - val_loss: 0.4980 - val_acc: 0.7552 Epoch 147/150 576/576 [==============================] - 0s 144us/step - loss: 0.4457 - acc: 0.7812 - val_loss: 0.4980 - val_acc: 0.7552 Epoch 148/150 576/576 [==============================] - 0s 116us/step - loss: 0.4454 - acc: 0.7812 - val_loss: 0.4980 - val_acc: 0.7552 Epoch 149/150 576/576 [==============================] - 0s 149us/step - loss: 0.4452 - acc: 0.7812 - val_loss: 0.4980 - val_acc: 0.7552 Epoch 150/150 576/576 [==============================] - 0s 130us/step - loss: 0.4450 - acc: 0.7812 - val_loss: 0.4980 - val_acc: 0.7552 accuracy is 0.755 roc-auc is 0.825
In [72]:
model = experiment(32, 1500, .003, 'sigmoid')
plot_experiment(model)
print('accuracy is {:.3f}'.format(accuracy_score(y_test,model[1])))
print('roc-auc is {:.3f}'.format(roc_auc_score(y_test,model[2])))
plot_roc(y_test, model[2], 'NN')
Train on 576 samples, validate on 192 samples Epoch 1/1500 576/576 [==============================] - 2s 3ms/step - loss: 0.7236 - acc: 0.3958 - val_loss: 0.7126 - val_acc: 0.4271 Epoch 2/1500 576/576 [==============================] - 0s 104us/step - loss: 0.7172 - acc: 0.4253 - val_loss: 0.7073 - val_acc: 0.4427 Epoch 3/1500 576/576 [==============================] - 0s 109us/step - loss: 0.7113 - acc: 0.4497 - val_loss: 0.7025 - val_acc: 0.4740 Epoch 4/1500 576/576 [==============================] - 0s 130us/step - loss: 0.7059 - acc: 0.4688 - val_loss: 0.6980 - val_acc: 0.4844 Epoch 5/1500 576/576 [==============================] - 0s 120us/step - loss: 0.7009 - acc: 0.5017 - val_loss: 0.6939 - val_acc: 0.5208 Epoch 6/1500 576/576 [==============================] - 0s 134us/step - loss: 0.6962 - acc: 0.5382 - val_loss: 0.6900 - val_acc: 0.5469 Epoch 7/1500 576/576 [==============================] - 0s 121us/step - loss: 0.6919 - acc: 0.5590 - val_loss: 0.6864 - val_acc: 0.5521 Epoch 8/1500 576/576 [==============================] - 0s 127us/step - loss: 0.6878 - acc: 0.5833 - val_loss: 0.6831 - val_acc: 0.5885 Epoch 9/1500 576/576 [==============================] - 0s 115us/step - loss: 0.6840 - acc: 0.6059 - val_loss: 0.6799 - val_acc: 0.5885 Epoch 10/1500 576/576 [==============================] - 0s 106us/step - loss: 0.6804 - acc: 0.6163 - val_loss: 0.6769 - val_acc: 0.5781 Epoch 11/1500 576/576 [==============================] - 0s 123us/step - loss: 0.6770 - acc: 0.6233 - val_loss: 0.6741 - val_acc: 0.6042 Epoch 12/1500 576/576 [==============================] - 0s 109us/step - loss: 0.6738 - acc: 0.6302 - val_loss: 0.6714 - val_acc: 0.6302 Epoch 13/1500 576/576 [==============================] - 0s 132us/step - loss: 0.6707 - acc: 0.6424 - val_loss: 0.6688 - val_acc: 0.6562 Epoch 14/1500 576/576 [==============================] - 0s 104us/step - loss: 0.6678 - acc: 0.6493 - val_loss: 0.6664 - val_acc: 0.6562 Epoch 15/1500 576/576 [==============================] - 0s 146us/step - loss: 0.6650 - acc: 0.6597 - val_loss: 0.6640 - val_acc: 0.6562 Epoch 16/1500 576/576 [==============================] - 0s 109us/step - loss: 0.6624 - acc: 0.6649 - val_loss: 0.6618 - val_acc: 0.6562 Epoch 17/1500 576/576 [==============================] - 0s 127us/step - loss: 0.6598 - acc: 0.6632 - val_loss: 0.6596 - val_acc: 0.6510 Epoch 18/1500 576/576 [==============================] - 0s 115us/step - loss: 0.6573 - acc: 0.6580 - val_loss: 0.6575 - val_acc: 0.6510 Epoch 19/1500 576/576 [==============================] - 0s 108us/step - loss: 0.6549 - acc: 0.6597 - val_loss: 0.6555 - val_acc: 0.6562 Epoch 20/1500 576/576 [==============================] - 0s 134us/step - loss: 0.6526 - acc: 0.6580 - val_loss: 0.6535 - val_acc: 0.6510 Epoch 21/1500 576/576 [==============================] - 0s 121us/step - loss: 0.6503 - acc: 0.6580 - val_loss: 0.6516 - val_acc: 0.6562 Epoch 22/1500 576/576 [==============================] - 0s 118us/step - loss: 0.6482 - acc: 0.6562 - val_loss: 0.6497 - val_acc: 0.6510 Epoch 23/1500 576/576 [==============================] - 0s 106us/step - loss: 0.6461 - acc: 0.6580 - val_loss: 0.6479 - val_acc: 0.6510 Epoch 24/1500 576/576 [==============================] - 0s 95us/step - loss: 0.6441 - acc: 0.6545 - val_loss: 0.6462 - val_acc: 0.6510 Epoch 25/1500 576/576 [==============================] - 0s 106us/step - loss: 0.6421 - acc: 0.6545 - val_loss: 0.6445 - val_acc: 0.6458 Epoch 26/1500 576/576 [==============================] - 0s 125us/step - loss: 0.6402 - acc: 0.6545 - val_loss: 0.6428 - val_acc: 0.6458 Epoch 27/1500 576/576 [==============================] - 0s 125us/step - loss: 0.6383 - acc: 0.6545 - val_loss: 0.6412 - val_acc: 0.6406 Epoch 28/1500 576/576 [==============================] - 0s 137us/step - loss: 0.6365 - acc: 0.6528 - val_loss: 0.6396 - val_acc: 0.6406 Epoch 29/1500 576/576 [==============================] - 0s 109us/step - loss: 0.6347 - acc: 0.6545 - val_loss: 0.6380 - val_acc: 0.6406 Epoch 30/1500 576/576 [==============================] - ETA: 0s - loss: 0.6362 - acc: 0.645 - 0s 144us/step - loss: 0.6329 - acc: 0.6545 - val_loss: 0.6365 - val_acc: 0.6406 Epoch 31/1500 576/576 [==============================] - 0s 113us/step - loss: 0.6311 - acc: 0.6562 - val_loss: 0.6350 - val_acc: 0.6406 Epoch 32/1500 576/576 [==============================] - 0s 125us/step - loss: 0.6294 - acc: 0.6562 - val_loss: 0.6334 - val_acc: 0.6406 Epoch 33/1500 576/576 [==============================] - 0s 154us/step - loss: 0.6277 - acc: 0.6545 - val_loss: 0.6320 - val_acc: 0.6406 Epoch 34/1500 576/576 [==============================] - 0s 106us/step - loss: 0.6260 - acc: 0.6545 - val_loss: 0.6305 - val_acc: 0.6406 Epoch 35/1500 576/576 [==============================] - 0s 109us/step - loss: 0.6243 - acc: 0.6545 - val_loss: 0.6291 - val_acc: 0.6406 Epoch 36/1500 576/576 [==============================] - 0s 102us/step - loss: 0.6227 - acc: 0.6545 - val_loss: 0.6276 - val_acc: 0.6406 Epoch 37/1500 576/576 [==============================] - 0s 111us/step - loss: 0.6211 - acc: 0.6545 - val_loss: 0.6262 - val_acc: 0.6406 Epoch 38/1500 576/576 [==============================] - 0s 111us/step - loss: 0.6194 - acc: 0.6545 - val_loss: 0.6248 - val_acc: 0.6406 Epoch 39/1500 576/576 [==============================] - 0s 106us/step - loss: 0.6179 - acc: 0.6528 - val_loss: 0.6235 - val_acc: 0.6406 Epoch 40/1500 576/576 [==============================] - 0s 97us/step - loss: 0.6163 - acc: 0.6528 - val_loss: 0.6221 - val_acc: 0.6406 Epoch 41/1500 576/576 [==============================] - 0s 111us/step - loss: 0.6147 - acc: 0.6528 - val_loss: 0.6207 - val_acc: 0.6406 Epoch 42/1500 576/576 [==============================] - 0s 127us/step - loss: 0.6132 - acc: 0.6528 - val_loss: 0.6194 - val_acc: 0.6458 Epoch 43/1500 576/576 [==============================] - 0s 123us/step - loss: 0.6116 - acc: 0.6528 - val_loss: 0.6181 - val_acc: 0.6458 Epoch 44/1500 576/576 [==============================] - 0s 128us/step - loss: 0.6101 - acc: 0.6528 - val_loss: 0.6168 - val_acc: 0.6458 Epoch 45/1500 576/576 [==============================] - 0s 111us/step - loss: 0.6086 - acc: 0.6528 - val_loss: 0.6154 - val_acc: 0.6458 Epoch 46/1500 576/576 [==============================] - 0s 102us/step - loss: 0.6071 - acc: 0.6528 - val_loss: 0.6141 - val_acc: 0.6458 Epoch 47/1500 576/576 [==============================] - 0s 121us/step - loss: 0.6056 - acc: 0.6528 - val_loss: 0.6128 - val_acc: 0.6458 Epoch 48/1500 576/576 [==============================] - 0s 125us/step - loss: 0.6041 - acc: 0.6528 - val_loss: 0.6116 - val_acc: 0.6458 Epoch 49/1500 576/576 [==============================] - 0s 116us/step - loss: 0.6026 - acc: 0.6528 - val_loss: 0.6103 - val_acc: 0.6458 Epoch 50/1500 576/576 [==============================] - 0s 139us/step - loss: 0.6011 - acc: 0.6528 - val_loss: 0.6090 - val_acc: 0.6458 Epoch 51/1500 576/576 [==============================] - 0s 132us/step - loss: 0.5996 - acc: 0.6545 - val_loss: 0.6077 - val_acc: 0.6458 Epoch 52/1500 576/576 [==============================] - 0s 101us/step - loss: 0.5981 - acc: 0.6545 - val_loss: 0.6064 - val_acc: 0.6458 Epoch 53/1500 576/576 [==============================] - 0s 99us/step - loss: 0.5966 - acc: 0.6562 - val_loss: 0.6052 - val_acc: 0.6458 Epoch 54/1500 576/576 [==============================] - 0s 113us/step - loss: 0.5951 - acc: 0.6562 - val_loss: 0.6039 - val_acc: 0.6458 Epoch 55/1500 576/576 [==============================] - 0s 108us/step - loss: 0.5936 - acc: 0.6562 - val_loss: 0.6026 - val_acc: 0.6458 Epoch 56/1500 576/576 [==============================] - 0s 104us/step - loss: 0.5921 - acc: 0.6562 - val_loss: 0.6013 - val_acc: 0.6458 Epoch 57/1500 576/576 [==============================] - 0s 104us/step - loss: 0.5906 - acc: 0.6562 - val_loss: 0.6001 - val_acc: 0.6458 Epoch 58/1500 576/576 [==============================] - 0s 130us/step - loss: 0.5891 - acc: 0.6580 - val_loss: 0.5988 - val_acc: 0.6458 Epoch 59/1500 576/576 [==============================] - 0s 106us/step - loss: 0.5876 - acc: 0.6580 - val_loss: 0.5976 - val_acc: 0.6458 Epoch 60/1500 576/576 [==============================] - 0s 113us/step - loss: 0.5861 - acc: 0.6580 - val_loss: 0.5963 - val_acc: 0.6458 Epoch 61/1500 576/576 [==============================] - 0s 108us/step - loss: 0.5846 - acc: 0.6580 - val_loss: 0.5951 - val_acc: 0.6458 Epoch 62/1500 576/576 [==============================] - 0s 132us/step - loss: 0.5831 - acc: 0.6580 - val_loss: 0.5939 - val_acc: 0.6458 Epoch 63/1500 576/576 [==============================] - 0s 121us/step - loss: 0.5816 - acc: 0.6580 - val_loss: 0.5926 - val_acc: 0.6458 Epoch 64/1500 576/576 [==============================] - 0s 115us/step - loss: 0.5801 - acc: 0.6580 - val_loss: 0.5914 - val_acc: 0.6458 Epoch 65/1500 576/576 [==============================] - 0s 109us/step - loss: 0.5786 - acc: 0.6597 - val_loss: 0.5902 - val_acc: 0.6458 Epoch 66/1500 576/576 [==============================] - 0s 108us/step - loss: 0.5771 - acc: 0.6597 - val_loss: 0.5889 - val_acc: 0.6458 Epoch 67/1500 576/576 [==============================] - 0s 141us/step - loss: 0.5756 - acc: 0.6615 - val_loss: 0.5877 - val_acc: 0.6458 Epoch 68/1500 576/576 [==============================] - 0s 130us/step - loss: 0.5741 - acc: 0.6632 - val_loss: 0.5865 - val_acc: 0.6458 Epoch 69/1500 576/576 [==============================] - 0s 118us/step - loss: 0.5727 - acc: 0.6649 - val_loss: 0.5852 - val_acc: 0.6458 Epoch 70/1500 576/576 [==============================] - 0s 115us/step - loss: 0.5712 - acc: 0.6649 - val_loss: 0.5840 - val_acc: 0.6458 Epoch 71/1500 576/576 [==============================] - 0s 149us/step - loss: 0.5697 - acc: 0.6667 - val_loss: 0.5828 - val_acc: 0.6458 Epoch 72/1500 576/576 [==============================] - 0s 139us/step - loss: 0.5682 - acc: 0.6667 - val_loss: 0.5816 - val_acc: 0.6510 Epoch 73/1500 576/576 [==============================] - 0s 134us/step - loss: 0.5668 - acc: 0.6701 - val_loss: 0.5804 - val_acc: 0.6510 Epoch 74/1500 576/576 [==============================] - 0s 141us/step - loss: 0.5653 - acc: 0.6736 - val_loss: 0.5792 - val_acc: 0.6510 Epoch 75/1500 576/576 [==============================] - 0s 130us/step - loss: 0.5638 - acc: 0.6736 - val_loss: 0.5780 - val_acc: 0.6510 Epoch 76/1500 576/576 [==============================] - 0s 118us/step - loss: 0.5624 - acc: 0.6736 - val_loss: 0.5768 - val_acc: 0.6562 Epoch 77/1500 576/576 [==============================] - 0s 128us/step - loss: 0.5610 - acc: 0.6736 - val_loss: 0.5756 - val_acc: 0.6562 Epoch 78/1500 576/576 [==============================] - 0s 144us/step - loss: 0.5595 - acc: 0.6719 - val_loss: 0.5744 - val_acc: 0.6562 Epoch 79/1500 576/576 [==============================] - 0s 106us/step - loss: 0.5581 - acc: 0.6753 - val_loss: 0.5733 - val_acc: 0.6562 Epoch 80/1500 576/576 [==============================] - 0s 123us/step - loss: 0.5566 - acc: 0.6788 - val_loss: 0.5721 - val_acc: 0.6615 Epoch 81/1500 576/576 [==============================] - 0s 127us/step - loss: 0.5552 - acc: 0.6806 - val_loss: 0.5709 - val_acc: 0.6615 Epoch 82/1500 576/576 [==============================] - 0s 132us/step - loss: 0.5537 - acc: 0.6823 - val_loss: 0.5697 - val_acc: 0.6615 Epoch 83/1500 576/576 [==============================] - 0s 125us/step - loss: 0.5523 - acc: 0.6823 - val_loss: 0.5686 - val_acc: 0.6615 Epoch 84/1500 576/576 [==============================] - 0s 132us/step - loss: 0.5508 - acc: 0.6823 - val_loss: 0.5674 - val_acc: 0.6615 Epoch 85/1500 576/576 [==============================] - 0s 128us/step - loss: 0.5494 - acc: 0.6771 - val_loss: 0.5663 - val_acc: 0.6719 Epoch 86/1500 576/576 [==============================] - 0s 128us/step - loss: 0.5480 - acc: 0.6771 - val_loss: 0.5651 - val_acc: 0.6719 Epoch 87/1500 576/576 [==============================] - 0s 132us/step - loss: 0.5466 - acc: 0.6806 - val_loss: 0.5640 - val_acc: 0.6771 Epoch 88/1500 576/576 [==============================] - 0s 115us/step - loss: 0.5451 - acc: 0.6823 - val_loss: 0.5628 - val_acc: 0.6823 Epoch 89/1500 576/576 [==============================] - 0s 118us/step - loss: 0.5437 - acc: 0.6840 - val_loss: 0.5617 - val_acc: 0.6875 Epoch 90/1500 576/576 [==============================] - 0s 146us/step - loss: 0.5423 - acc: 0.6840 - val_loss: 0.5606 - val_acc: 0.6875 Epoch 91/1500 576/576 [==============================] - 0s 115us/step - loss: 0.5408 - acc: 0.6840 - val_loss: 0.5595 - val_acc: 0.6979 Epoch 92/1500 576/576 [==============================] - 0s 113us/step - loss: 0.5394 - acc: 0.6858 - val_loss: 0.5583 - val_acc: 0.6927 Epoch 93/1500 576/576 [==============================] - 0s 128us/step - loss: 0.5380 - acc: 0.6875 - val_loss: 0.5572 - val_acc: 0.6927 Epoch 94/1500 576/576 [==============================] - 0s 137us/step - loss: 0.5366 - acc: 0.6910 - val_loss: 0.5561 - val_acc: 0.7031 Epoch 95/1500 576/576 [==============================] - 0s 118us/step - loss: 0.5352 - acc: 0.6910 - val_loss: 0.5550 - val_acc: 0.6979 Epoch 96/1500 576/576 [==============================] - 0s 121us/step - loss: 0.5338 - acc: 0.6944 - val_loss: 0.5540 - val_acc: 0.6979 Epoch 97/1500 576/576 [==============================] - 0s 139us/step - loss: 0.5324 - acc: 0.6962 - val_loss: 0.5529 - val_acc: 0.7031 Epoch 98/1500 576/576 [==============================] - 0s 135us/step - loss: 0.5311 - acc: 0.7014 - val_loss: 0.5518 - val_acc: 0.7083 Epoch 99/1500 576/576 [==============================] - 0s 116us/step - loss: 0.5297 - acc: 0.7014 - val_loss: 0.5507 - val_acc: 0.7188 Epoch 100/1500 576/576 [==============================] - 0s 144us/step - loss: 0.5283 - acc: 0.7049 - val_loss: 0.5497 - val_acc: 0.7344 Epoch 101/1500 576/576 [==============================] - 0s 132us/step - loss: 0.5270 - acc: 0.7101 - val_loss: 0.5486 - val_acc: 0.7396 Epoch 102/1500 576/576 [==============================] - 0s 106us/step - loss: 0.5256 - acc: 0.7118 - val_loss: 0.5476 - val_acc: 0.7448 Epoch 103/1500 576/576 [==============================] - 0s 111us/step - loss: 0.5243 - acc: 0.7170 - val_loss: 0.5465 - val_acc: 0.7500 Epoch 104/1500 576/576 [==============================] - 0s 146us/step - loss: 0.5229 - acc: 0.7188 - val_loss: 0.5455 - val_acc: 0.7500 Epoch 105/1500 576/576 [==============================] - 0s 104us/step - loss: 0.5216 - acc: 0.7188 - val_loss: 0.5445 - val_acc: 0.7500 Epoch 106/1500 576/576 [==============================] - 0s 116us/step - loss: 0.5203 - acc: 0.7222 - val_loss: 0.5435 - val_acc: 0.7500 Epoch 107/1500 576/576 [==============================] - 0s 121us/step - loss: 0.5191 - acc: 0.7274 - val_loss: 0.5425 - val_acc: 0.7500 Epoch 108/1500 576/576 [==============================] - 0s 108us/step - loss: 0.5178 - acc: 0.7292 - val_loss: 0.5415 - val_acc: 0.7552 Epoch 109/1500 576/576 [==============================] - 0s 106us/step - loss: 0.5165 - acc: 0.7274 - val_loss: 0.5405 - val_acc: 0.7552 Epoch 110/1500 576/576 [==============================] - 0s 101us/step - loss: 0.5152 - acc: 0.7309 - val_loss: 0.5396 - val_acc: 0.7552 Epoch 111/1500 576/576 [==============================] - 0s 137us/step - loss: 0.5140 - acc: 0.7344 - val_loss: 0.5386 - val_acc: 0.7552 Epoch 112/1500 576/576 [==============================] - 0s 130us/step - loss: 0.5127 - acc: 0.7361 - val_loss: 0.5377 - val_acc: 0.7552 Epoch 113/1500 576/576 [==============================] - 0s 128us/step - loss: 0.5115 - acc: 0.7344 - val_loss: 0.5368 - val_acc: 0.7552 Epoch 114/1500 576/576 [==============================] - 0s 109us/step - loss: 0.5104 - acc: 0.7361 - val_loss: 0.5359 - val_acc: 0.7604 Epoch 115/1500 576/576 [==============================] - 0s 109us/step - loss: 0.5092 - acc: 0.7378 - val_loss: 0.5350 - val_acc: 0.7552 Epoch 116/1500 576/576 [==============================] - 0s 113us/step - loss: 0.5080 - acc: 0.7396 - val_loss: 0.5341 - val_acc: 0.7552 Epoch 117/1500 576/576 [==============================] - 0s 120us/step - loss: 0.5068 - acc: 0.7413 - val_loss: 0.5333 - val_acc: 0.7604 Epoch 118/1500 576/576 [==============================] - 0s 108us/step - loss: 0.5056 - acc: 0.7431 - val_loss: 0.5324 - val_acc: 0.7656 Epoch 119/1500 576/576 [==============================] - 0s 116us/step - loss: 0.5045 - acc: 0.7448 - val_loss: 0.5316 - val_acc: 0.7604 Epoch 120/1500 576/576 [==============================] - 0s 95us/step - loss: 0.5034 - acc: 0.7448 - val_loss: 0.5307 - val_acc: 0.7604 Epoch 121/1500 576/576 [==============================] - 0s 99us/step - loss: 0.5023 - acc: 0.7483 - val_loss: 0.5299 - val_acc: 0.7604 Epoch 122/1500 576/576 [==============================] - 0s 125us/step - loss: 0.5011 - acc: 0.7465 - val_loss: 0.5292 - val_acc: 0.7604 Epoch 123/1500 576/576 [==============================] - 0s 130us/step - loss: 0.5000 - acc: 0.7500 - val_loss: 0.5284 - val_acc: 0.7656 Epoch 124/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4990 - acc: 0.7517 - val_loss: 0.5276 - val_acc: 0.7656 Epoch 125/1500 576/576 [==============================] - 0s 139us/step - loss: 0.4979 - acc: 0.7535 - val_loss: 0.5268 - val_acc: 0.7656 Epoch 126/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4968 - acc: 0.7535 - val_loss: 0.5261 - val_acc: 0.7656 Epoch 127/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4958 - acc: 0.7552 - val_loss: 0.5254 - val_acc: 0.7656 Epoch 128/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4948 - acc: 0.7517 - val_loss: 0.5246 - val_acc: 0.7656 Epoch 129/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4938 - acc: 0.7517 - val_loss: 0.5239 - val_acc: 0.7656 Epoch 130/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4928 - acc: 0.7535 - val_loss: 0.5232 - val_acc: 0.7656 Epoch 131/1500 576/576 [==============================] - 0s 144us/step - loss: 0.4918 - acc: 0.7552 - val_loss: 0.5225 - val_acc: 0.7604 Epoch 132/1500 576/576 [==============================] - 0s 142us/step - loss: 0.4908 - acc: 0.7587 - val_loss: 0.5219 - val_acc: 0.7604 Epoch 133/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4898 - acc: 0.7569 - val_loss: 0.5212 - val_acc: 0.7656 Epoch 134/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4889 - acc: 0.7604 - val_loss: 0.5205 - val_acc: 0.7656 Epoch 135/1500 576/576 [==============================] - 0s 137us/step - loss: 0.4879 - acc: 0.7604 - val_loss: 0.5199 - val_acc: 0.7656 Epoch 136/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4870 - acc: 0.7604 - val_loss: 0.5193 - val_acc: 0.7604 Epoch 137/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4861 - acc: 0.7604 - val_loss: 0.5187 - val_acc: 0.7604 Epoch 138/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4852 - acc: 0.7639 - val_loss: 0.5181 - val_acc: 0.7604 Epoch 139/1500 576/576 [==============================] - 0s 139us/step - loss: 0.4843 - acc: 0.7691 - val_loss: 0.5175 - val_acc: 0.7604 Epoch 140/1500 576/576 [==============================] - 0s 151us/step - loss: 0.4834 - acc: 0.7743 - val_loss: 0.5169 - val_acc: 0.7604 Epoch 141/1500 576/576 [==============================] - 0s 156us/step - loss: 0.4825 - acc: 0.7743 - val_loss: 0.5163 - val_acc: 0.7604 Epoch 142/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4817 - acc: 0.7743 - val_loss: 0.5158 - val_acc: 0.7604 Epoch 143/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4808 - acc: 0.7760 - val_loss: 0.5152 - val_acc: 0.7604 Epoch 144/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4801 - acc: 0.7743 - val_loss: 0.5147 - val_acc: 0.7604 Epoch 145/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4793 - acc: 0.7743 - val_loss: 0.5142 - val_acc: 0.7604 Epoch 146/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4784 - acc: 0.7743 - val_loss: 0.5136 - val_acc: 0.7604 Epoch 147/1500 576/576 [==============================] - 0s 147us/step - loss: 0.4777 - acc: 0.7760 - val_loss: 0.5131 - val_acc: 0.7604 Epoch 148/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4769 - acc: 0.7830 - val_loss: 0.5127 - val_acc: 0.7552 Epoch 149/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4762 - acc: 0.7812 - val_loss: 0.5122 - val_acc: 0.7552 Epoch 150/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4754 - acc: 0.7830 - val_loss: 0.5117 - val_acc: 0.7552 Epoch 151/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4747 - acc: 0.7847 - val_loss: 0.5112 - val_acc: 0.7448 Epoch 152/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4740 - acc: 0.7882 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 153/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4733 - acc: 0.7882 - val_loss: 0.5103 - val_acc: 0.7552 Epoch 154/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4727 - acc: 0.7865 - val_loss: 0.5099 - val_acc: 0.7552 Epoch 155/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4719 - acc: 0.7882 - val_loss: 0.5095 - val_acc: 0.7552 Epoch 156/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4713 - acc: 0.7865 - val_loss: 0.5091 - val_acc: 0.7500 Epoch 157/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4707 - acc: 0.7865 - val_loss: 0.5087 - val_acc: 0.7448 Epoch 158/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4700 - acc: 0.7865 - val_loss: 0.5083 - val_acc: 0.7448 Epoch 159/1500 576/576 [==============================] - 0s 160us/step - loss: 0.4694 - acc: 0.7847 - val_loss: 0.5080 - val_acc: 0.7448 Epoch 160/1500 576/576 [==============================] - 0s 151us/step - loss: 0.4687 - acc: 0.7847 - val_loss: 0.5076 - val_acc: 0.7500 Epoch 161/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4681 - acc: 0.7847 - val_loss: 0.5073 - val_acc: 0.7500 Epoch 162/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4675 - acc: 0.7882 - val_loss: 0.5069 - val_acc: 0.7500 Epoch 163/1500 576/576 [==============================] - 0s 153us/step - loss: 0.4669 - acc: 0.7882 - val_loss: 0.5066 - val_acc: 0.7500 Epoch 164/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4664 - acc: 0.7882 - val_loss: 0.5063 - val_acc: 0.7500 Epoch 165/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4658 - acc: 0.7899 - val_loss: 0.5059 - val_acc: 0.7500 Epoch 166/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4652 - acc: 0.7882 - val_loss: 0.5056 - val_acc: 0.7500 Epoch 167/1500 576/576 [==============================] - 0s 139us/step - loss: 0.4647 - acc: 0.7882 - val_loss: 0.5053 - val_acc: 0.7552 Epoch 168/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4641 - acc: 0.7847 - val_loss: 0.5050 - val_acc: 0.7552 Epoch 169/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4636 - acc: 0.7847 - val_loss: 0.5047 - val_acc: 0.7552 Epoch 170/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4631 - acc: 0.7865 - val_loss: 0.5045 - val_acc: 0.7552 Epoch 171/1500 576/576 [==============================] - 0s 139us/step - loss: 0.4626 - acc: 0.7865 - val_loss: 0.5042 - val_acc: 0.7552 Epoch 172/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4621 - acc: 0.7865 - val_loss: 0.5039 - val_acc: 0.7552 Epoch 173/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4616 - acc: 0.7865 - val_loss: 0.5037 - val_acc: 0.7552 Epoch 174/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4611 - acc: 0.7865 - val_loss: 0.5034 - val_acc: 0.7500 Epoch 175/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4606 - acc: 0.7865 - val_loss: 0.5031 - val_acc: 0.7552 Epoch 176/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4601 - acc: 0.7899 - val_loss: 0.5029 - val_acc: 0.7552 Epoch 177/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4597 - acc: 0.7899 - val_loss: 0.5027 - val_acc: 0.7604 Epoch 178/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4592 - acc: 0.7899 - val_loss: 0.5024 - val_acc: 0.7604 Epoch 179/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4588 - acc: 0.7899 - val_loss: 0.5022 - val_acc: 0.7604 Epoch 180/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4583 - acc: 0.7882 - val_loss: 0.5020 - val_acc: 0.7604 Epoch 181/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4579 - acc: 0.7882 - val_loss: 0.5018 - val_acc: 0.7552 Epoch 182/1500 576/576 [==============================] - 0s 139us/step - loss: 0.4575 - acc: 0.7882 - val_loss: 0.5016 - val_acc: 0.7552 Epoch 183/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4571 - acc: 0.7882 - val_loss: 0.5014 - val_acc: 0.7500 Epoch 184/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4567 - acc: 0.7882 - val_loss: 0.5011 - val_acc: 0.7500 Epoch 185/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4563 - acc: 0.7882 - val_loss: 0.5009 - val_acc: 0.7500 Epoch 186/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4559 - acc: 0.7882 - val_loss: 0.5008 - val_acc: 0.7500 Epoch 187/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4555 - acc: 0.7899 - val_loss: 0.5006 - val_acc: 0.7500 Epoch 188/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4551 - acc: 0.7899 - val_loss: 0.5004 - val_acc: 0.7500 Epoch 189/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4548 - acc: 0.7899 - val_loss: 0.5002 - val_acc: 0.7500 Epoch 190/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4544 - acc: 0.7899 - val_loss: 0.5000 - val_acc: 0.7500 Epoch 191/1500 576/576 [==============================] - 0s 130us/step - loss: 0.4541 - acc: 0.7917 - val_loss: 0.4999 - val_acc: 0.7500 Epoch 192/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4538 - acc: 0.7882 - val_loss: 0.4997 - val_acc: 0.7500 Epoch 193/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4533 - acc: 0.7899 - val_loss: 0.4996 - val_acc: 0.7500 Epoch 194/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4530 - acc: 0.7917 - val_loss: 0.4994 - val_acc: 0.7500 Epoch 195/1500 576/576 [==============================] - 0s 147us/step - loss: 0.4527 - acc: 0.7899 - val_loss: 0.4993 - val_acc: 0.7500 Epoch 196/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4523 - acc: 0.7917 - val_loss: 0.4991 - val_acc: 0.7500 Epoch 197/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4520 - acc: 0.7899 - val_loss: 0.4990 - val_acc: 0.7500 Epoch 198/1500 576/576 [==============================] - 0s 141us/step - loss: 0.4517 - acc: 0.7899 - val_loss: 0.4989 - val_acc: 0.7500 Epoch 199/1500 576/576 [==============================] - 0s 147us/step - loss: 0.4514 - acc: 0.7899 - val_loss: 0.4987 - val_acc: 0.7448 Epoch 200/1500 576/576 [==============================] - 0s 156us/step - loss: 0.4511 - acc: 0.7917 - val_loss: 0.4986 - val_acc: 0.7448 Epoch 201/1500 576/576 [==============================] - 0s 144us/step - loss: 0.4508 - acc: 0.7934 - val_loss: 0.4985 - val_acc: 0.7448 Epoch 202/1500 576/576 [==============================] - 0s 139us/step - loss: 0.4505 - acc: 0.7934 - val_loss: 0.4984 - val_acc: 0.7448 Epoch 203/1500 576/576 [==============================] - 0s 151us/step - loss: 0.4501 - acc: 0.7934 - val_loss: 0.4983 - val_acc: 0.7448 Epoch 204/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4499 - acc: 0.7934 - val_loss: 0.4982 - val_acc: 0.7448 Epoch 205/1500 576/576 [==============================] - 0s 149us/step - loss: 0.4496 - acc: 0.7934 - val_loss: 0.4980 - val_acc: 0.7448 Epoch 206/1500 576/576 [==============================] - 0s 154us/step - loss: 0.4493 - acc: 0.7934 - val_loss: 0.4979 - val_acc: 0.7448 Epoch 207/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4490 - acc: 0.7934 - val_loss: 0.4978 - val_acc: 0.7448 Epoch 208/1500 576/576 [==============================] - 0s 142us/step - loss: 0.4488 - acc: 0.7917 - val_loss: 0.4977 - val_acc: 0.7448 Epoch 209/1500 576/576 [==============================] - 0s 120us/step - loss: 0.4485 - acc: 0.7934 - val_loss: 0.4976 - val_acc: 0.7448 Epoch 210/1500 576/576 [==============================] - 0s 149us/step - loss: 0.4483 - acc: 0.7951 - val_loss: 0.4976 - val_acc: 0.7448 Epoch 211/1500 576/576 [==============================] - 0s 137us/step - loss: 0.4480 - acc: 0.7917 - val_loss: 0.4975 - val_acc: 0.7448 Epoch 212/1500 576/576 [==============================] - 0s 141us/step - loss: 0.4477 - acc: 0.7917 - val_loss: 0.4974 - val_acc: 0.7448 Epoch 213/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4475 - acc: 0.7951 - val_loss: 0.4973 - val_acc: 0.7448 Epoch 214/1500 576/576 [==============================] - 0s 144us/step - loss: 0.4472 - acc: 0.7934 - val_loss: 0.4972 - val_acc: 0.7448 Epoch 215/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4470 - acc: 0.7934 - val_loss: 0.4971 - val_acc: 0.7448 Epoch 216/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4467 - acc: 0.7917 - val_loss: 0.4970 - val_acc: 0.7448 Epoch 217/1500 576/576 [==============================] - 0s 141us/step - loss: 0.4465 - acc: 0.7951 - val_loss: 0.4970 - val_acc: 0.7448 Epoch 218/1500 576/576 [==============================] - 0s 137us/step - loss: 0.4463 - acc: 0.7934 - val_loss: 0.4969 - val_acc: 0.7448 Epoch 219/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4461 - acc: 0.7951 - val_loss: 0.4968 - val_acc: 0.7448 Epoch 220/1500 576/576 [==============================] - 0s 149us/step - loss: 0.4458 - acc: 0.7951 - val_loss: 0.4968 - val_acc: 0.7448 Epoch 221/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4455 - acc: 0.7934 - val_loss: 0.4967 - val_acc: 0.7448 Epoch 222/1500 576/576 [==============================] - 0s 142us/step - loss: 0.4453 - acc: 0.7934 - val_loss: 0.4966 - val_acc: 0.7448 Epoch 223/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4451 - acc: 0.7969 - val_loss: 0.4966 - val_acc: 0.7448 Epoch 224/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4449 - acc: 0.7951 - val_loss: 0.4965 - val_acc: 0.7448 Epoch 225/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4447 - acc: 0.7951 - val_loss: 0.4964 - val_acc: 0.7500 Epoch 226/1500 576/576 [==============================] - 0s 130us/step - loss: 0.4445 - acc: 0.7934 - val_loss: 0.4964 - val_acc: 0.7500 Epoch 227/1500 576/576 [==============================] - 0s 156us/step - loss: 0.4443 - acc: 0.7951 - val_loss: 0.4963 - val_acc: 0.7500 Epoch 228/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4440 - acc: 0.7951 - val_loss: 0.4963 - val_acc: 0.7500 Epoch 229/1500 576/576 [==============================] - 0s 142us/step - loss: 0.4439 - acc: 0.7969 - val_loss: 0.4962 - val_acc: 0.7500 Epoch 230/1500 576/576 [==============================] - 0s 141us/step - loss: 0.4437 - acc: 0.7986 - val_loss: 0.4961 - val_acc: 0.7500 Epoch 231/1500 576/576 [==============================] - 0s 142us/step - loss: 0.4434 - acc: 0.7951 - val_loss: 0.4961 - val_acc: 0.7500 Epoch 232/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4433 - acc: 0.7986 - val_loss: 0.4960 - val_acc: 0.7500 Epoch 233/1500 576/576 [==============================] - 0s 149us/step - loss: 0.4431 - acc: 0.7986 - val_loss: 0.4960 - val_acc: 0.7500 Epoch 234/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4428 - acc: 0.8003 - val_loss: 0.4960 - val_acc: 0.7500 Epoch 235/1500 576/576 [==============================] - 0s 160us/step - loss: 0.4427 - acc: 0.7986 - val_loss: 0.4959 - val_acc: 0.7448 Epoch 236/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4425 - acc: 0.7986 - val_loss: 0.4959 - val_acc: 0.7448 Epoch 237/1500 576/576 [==============================] - 0s 130us/step - loss: 0.4423 - acc: 0.7986 - val_loss: 0.4958 - val_acc: 0.7448 Epoch 238/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4421 - acc: 0.7986 - val_loss: 0.4958 - val_acc: 0.7448 Epoch 239/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4419 - acc: 0.7986 - val_loss: 0.4958 - val_acc: 0.7448 Epoch 240/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4418 - acc: 0.7986 - val_loss: 0.4957 - val_acc: 0.7448 Epoch 241/1500 576/576 [==============================] - 0s 146us/step - loss: 0.4416 - acc: 0.7986 - val_loss: 0.4957 - val_acc: 0.7448 Epoch 242/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4415 - acc: 0.7986 - val_loss: 0.4956 - val_acc: 0.7448 Epoch 243/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4412 - acc: 0.7986 - val_loss: 0.4956 - val_acc: 0.7448 Epoch 244/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4410 - acc: 0.7986 - val_loss: 0.4956 - val_acc: 0.7448 Epoch 245/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4409 - acc: 0.7986 - val_loss: 0.4955 - val_acc: 0.7500 Epoch 246/1500 576/576 [==============================] - 0s 130us/step - loss: 0.4407 - acc: 0.7986 - val_loss: 0.4955 - val_acc: 0.7500 Epoch 247/1500 576/576 [==============================] - 0s 146us/step - loss: 0.4406 - acc: 0.7986 - val_loss: 0.4955 - val_acc: 0.7448 Epoch 248/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4404 - acc: 0.7986 - val_loss: 0.4954 - val_acc: 0.7448 Epoch 249/1500 576/576 [==============================] - 0s 158us/step - loss: 0.4402 - acc: 0.7986 - val_loss: 0.4954 - val_acc: 0.7448 Epoch 250/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4401 - acc: 0.7986 - val_loss: 0.4954 - val_acc: 0.7448 Epoch 251/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4399 - acc: 0.7986 - val_loss: 0.4953 - val_acc: 0.7448 Epoch 252/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4397 - acc: 0.7986 - val_loss: 0.4953 - val_acc: 0.7396 Epoch 253/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4396 - acc: 0.7969 - val_loss: 0.4953 - val_acc: 0.7396 Epoch 254/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4394 - acc: 0.7986 - val_loss: 0.4953 - val_acc: 0.7396 Epoch 255/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4393 - acc: 0.7969 - val_loss: 0.4952 - val_acc: 0.7396 Epoch 256/1500 576/576 [==============================] - 0s 147us/step - loss: 0.4391 - acc: 0.7969 - val_loss: 0.4952 - val_acc: 0.7396 Epoch 257/1500 576/576 [==============================] - 0s 130us/step - loss: 0.4390 - acc: 0.7969 - val_loss: 0.4952 - val_acc: 0.7396 Epoch 258/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4388 - acc: 0.7969 - val_loss: 0.4952 - val_acc: 0.7396 Epoch 259/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4386 - acc: 0.7951 - val_loss: 0.4952 - val_acc: 0.7396 Epoch 260/1500 576/576 [==============================] - 0s 120us/step - loss: 0.4385 - acc: 0.7969 - val_loss: 0.4951 - val_acc: 0.7396 Epoch 261/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4383 - acc: 0.7951 - val_loss: 0.4951 - val_acc: 0.7396 Epoch 262/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4382 - acc: 0.7969 - val_loss: 0.4951 - val_acc: 0.7396 Epoch 263/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4381 - acc: 0.7969 - val_loss: 0.4951 - val_acc: 0.7396 Epoch 264/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4379 - acc: 0.7951 - val_loss: 0.4951 - val_acc: 0.7396 Epoch 265/1500 576/576 [==============================] - 0s 146us/step - loss: 0.4378 - acc: 0.7951 - val_loss: 0.4951 - val_acc: 0.7396 Epoch 266/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4377 - acc: 0.7986 - val_loss: 0.4951 - val_acc: 0.7396 Epoch 267/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4375 - acc: 0.7951 - val_loss: 0.4951 - val_acc: 0.7396 Epoch 268/1500 576/576 [==============================] - 0s 139us/step - loss: 0.4374 - acc: 0.7951 - val_loss: 0.4951 - val_acc: 0.7448 Epoch 269/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4372 - acc: 0.7951 - val_loss: 0.4951 - val_acc: 0.7448 Epoch 270/1500 576/576 [==============================] - 0s 141us/step - loss: 0.4371 - acc: 0.7951 - val_loss: 0.4950 - val_acc: 0.7448 Epoch 271/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4370 - acc: 0.7951 - val_loss: 0.4950 - val_acc: 0.7448 Epoch 272/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4368 - acc: 0.7951 - val_loss: 0.4950 - val_acc: 0.7396 Epoch 273/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4367 - acc: 0.7969 - val_loss: 0.4950 - val_acc: 0.7396 Epoch 274/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4365 - acc: 0.7969 - val_loss: 0.4950 - val_acc: 0.7396 Epoch 275/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4364 - acc: 0.7969 - val_loss: 0.4950 - val_acc: 0.7396 Epoch 276/1500 576/576 [==============================] - 0s 141us/step - loss: 0.4363 - acc: 0.7951 - val_loss: 0.4950 - val_acc: 0.7396 Epoch 277/1500 576/576 [==============================] - 0s 146us/step - loss: 0.4362 - acc: 0.7951 - val_loss: 0.4949 - val_acc: 0.7396 Epoch 278/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4360 - acc: 0.7934 - val_loss: 0.4949 - val_acc: 0.7396 Epoch 279/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4359 - acc: 0.7969 - val_loss: 0.4949 - val_acc: 0.7396 Epoch 280/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4357 - acc: 0.7969 - val_loss: 0.4949 - val_acc: 0.7396 Epoch 281/1500 576/576 [==============================] - 0s 137us/step - loss: 0.4356 - acc: 0.7969 - val_loss: 0.4949 - val_acc: 0.7396 Epoch 282/1500 576/576 [==============================] - 0s 120us/step - loss: 0.4355 - acc: 0.7969 - val_loss: 0.4949 - val_acc: 0.7396 Epoch 283/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4353 - acc: 0.7969 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 284/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4353 - acc: 0.7969 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 285/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4351 - acc: 0.7951 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 286/1500 576/576 [==============================] - 0s 142us/step - loss: 0.4350 - acc: 0.7951 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 287/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4348 - acc: 0.7969 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 288/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4347 - acc: 0.7951 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 289/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4346 - acc: 0.7951 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 290/1500 576/576 [==============================] - 0s 142us/step - loss: 0.4344 - acc: 0.7969 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 291/1500 576/576 [==============================] - 0s 146us/step - loss: 0.4343 - acc: 0.7951 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 292/1500 576/576 [==============================] - 0s 139us/step - loss: 0.4342 - acc: 0.7951 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 293/1500 576/576 [==============================] - 0s 142us/step - loss: 0.4341 - acc: 0.7969 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 294/1500 576/576 [==============================] - 0s 149us/step - loss: 0.4340 - acc: 0.7951 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 295/1500 576/576 [==============================] - 0s 137us/step - loss: 0.4339 - acc: 0.7951 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 296/1500 576/576 [==============================] - 0s 142us/step - loss: 0.4338 - acc: 0.7951 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 297/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4336 - acc: 0.7951 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 298/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4335 - acc: 0.7969 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 299/1500 576/576 [==============================] - 0s 137us/step - loss: 0.4334 - acc: 0.7969 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 300/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4332 - acc: 0.7969 - val_loss: 0.4948 - val_acc: 0.7396 Epoch 301/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4332 - acc: 0.7986 - val_loss: 0.4947 - val_acc: 0.7396 Epoch 302/1500 576/576 [==============================] - 0s 141us/step - loss: 0.4330 - acc: 0.7969 - val_loss: 0.4947 - val_acc: 0.7448 Epoch 303/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4329 - acc: 0.7951 - val_loss: 0.4947 - val_acc: 0.7448 Epoch 304/1500 576/576 [==============================] - 0s 137us/step - loss: 0.4328 - acc: 0.7986 - val_loss: 0.4947 - val_acc: 0.7396 Epoch 305/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4326 - acc: 0.7986 - val_loss: 0.4947 - val_acc: 0.7448 Epoch 306/1500 576/576 [==============================] - 0s 137us/step - loss: 0.4325 - acc: 0.7986 - val_loss: 0.4947 - val_acc: 0.7448 Epoch 307/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4325 - acc: 0.7969 - val_loss: 0.4947 - val_acc: 0.7448 Epoch 308/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4323 - acc: 0.7986 - val_loss: 0.4947 - val_acc: 0.7448 Epoch 309/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4322 - acc: 0.7986 - val_loss: 0.4947 - val_acc: 0.7448 Epoch 310/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4321 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 311/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4320 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 312/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4319 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 313/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4317 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 314/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4316 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 315/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4315 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 316/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4314 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 317/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4313 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 318/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4312 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 319/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4311 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 320/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4310 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 321/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4309 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 322/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4307 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 323/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4307 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 324/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4305 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7448 Epoch 325/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4304 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7500 Epoch 326/1500 576/576 [==============================] - 0s 147us/step - loss: 0.4303 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7500 Epoch 327/1500 576/576 [==============================] - 0s 141us/step - loss: 0.4302 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7500 Epoch 328/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4301 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7500 Epoch 329/1500 576/576 [==============================] - 0s 149us/step - loss: 0.4300 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7552 Epoch 330/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4298 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7552 Epoch 331/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4297 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7552 Epoch 332/1500 576/576 [==============================] - 0s 142us/step - loss: 0.4296 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7552 Epoch 333/1500 576/576 [==============================] - 0s 142us/step - loss: 0.4295 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7552 Epoch 334/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4294 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7552 Epoch 335/1500 576/576 [==============================] - 0s 151us/step - loss: 0.4293 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7552 Epoch 336/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4292 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7552 Epoch 337/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4292 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 338/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4291 - acc: 0.7986 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 339/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4290 - acc: 0.7986 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 340/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4288 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 341/1500 576/576 [==============================] - 0s 141us/step - loss: 0.4287 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 342/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4286 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7552 Epoch 343/1500 576/576 [==============================] - 0s 144us/step - loss: 0.4285 - acc: 0.8003 - val_loss: 0.4946 - val_acc: 0.7552 Epoch 344/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4284 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 345/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4283 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 346/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4282 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 347/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4282 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 348/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4280 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 349/1500 576/576 [==============================] - 0s 141us/step - loss: 0.4279 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 350/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4279 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 351/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4277 - acc: 0.8021 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 352/1500 576/576 [==============================] - 0s 120us/step - loss: 0.4276 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 353/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4276 - acc: 0.8021 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 354/1500 576/576 [==============================] - 0s 151us/step - loss: 0.4275 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 355/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4274 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 356/1500 576/576 [==============================] - 0s 120us/step - loss: 0.4273 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 357/1500 576/576 [==============================] - 0s 137us/step - loss: 0.4272 - acc: 0.8038 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 358/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4271 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 359/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4270 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 360/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4269 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 361/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4268 - acc: 0.7986 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 362/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4267 - acc: 0.7986 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 363/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4266 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 364/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4265 - acc: 0.8038 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 365/1500 576/576 [==============================] - 0s 139us/step - loss: 0.4264 - acc: 0.8021 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 366/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4264 - acc: 0.8038 - val_loss: 0.4945 - val_acc: 0.7552 Epoch 367/1500 576/576 [==============================] - 0s 142us/step - loss: 0.4262 - acc: 0.8038 - val_loss: 0.4945 - val_acc: 0.7604 Epoch 368/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4262 - acc: 0.8021 - val_loss: 0.4945 - val_acc: 0.7604 Epoch 369/1500 576/576 [==============================] - 0s 130us/step - loss: 0.4261 - acc: 0.8021 - val_loss: 0.4945 - val_acc: 0.7604 Epoch 370/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4260 - acc: 0.8021 - val_loss: 0.4945 - val_acc: 0.7604 Epoch 371/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4259 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7604 Epoch 372/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4258 - acc: 0.8003 - val_loss: 0.4945 - val_acc: 0.7604 Epoch 373/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4257 - acc: 0.8021 - val_loss: 0.4945 - val_acc: 0.7604 Epoch 374/1500 576/576 [==============================] - 0s 120us/step - loss: 0.4257 - acc: 0.8021 - val_loss: 0.4945 - val_acc: 0.7604 Epoch 375/1500 576/576 [==============================] - 0s 120us/step - loss: 0.4256 - acc: 0.8038 - val_loss: 0.4945 - val_acc: 0.7604 Epoch 376/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4255 - acc: 0.8021 - val_loss: 0.4945 - val_acc: 0.7604 Epoch 377/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4254 - acc: 0.8021 - val_loss: 0.4945 - val_acc: 0.7604 Epoch 378/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4253 - acc: 0.7986 - val_loss: 0.4946 - val_acc: 0.7604 Epoch 379/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4252 - acc: 0.8021 - val_loss: 0.4946 - val_acc: 0.7604 Epoch 380/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4251 - acc: 0.8021 - val_loss: 0.4946 - val_acc: 0.7604 Epoch 381/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4251 - acc: 0.8021 - val_loss: 0.4946 - val_acc: 0.7604 Epoch 382/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4250 - acc: 0.8021 - val_loss: 0.4946 - val_acc: 0.7604 Epoch 383/1500 576/576 [==============================] - 0s 161us/step - loss: 0.4249 - acc: 0.8021 - val_loss: 0.4946 - val_acc: 0.7604 Epoch 384/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4248 - acc: 0.8021 - val_loss: 0.4946 - val_acc: 0.7604 Epoch 385/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4247 - acc: 0.8021 - val_loss: 0.4946 - val_acc: 0.7604 Epoch 386/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4246 - acc: 0.8021 - val_loss: 0.4946 - val_acc: 0.7604 Epoch 387/1500 576/576 [==============================] - 0s 137us/step - loss: 0.4245 - acc: 0.8003 - val_loss: 0.4946 - val_acc: 0.7604 Epoch 388/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4244 - acc: 0.8003 - val_loss: 0.4946 - val_acc: 0.7604 Epoch 389/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4243 - acc: 0.8038 - val_loss: 0.4946 - val_acc: 0.7604 Epoch 390/1500 576/576 [==============================] - 0s 142us/step - loss: 0.4243 - acc: 0.8021 - val_loss: 0.4946 - val_acc: 0.7604 Epoch 391/1500 576/576 [==============================] - ETA: 0s - loss: 0.4264 - acc: 0.797 - 0s 137us/step - loss: 0.4242 - acc: 0.8021 - val_loss: 0.4946 - val_acc: 0.7604 Epoch 392/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4241 - acc: 0.8021 - val_loss: 0.4947 - val_acc: 0.7604 Epoch 393/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4240 - acc: 0.8003 - val_loss: 0.4947 - val_acc: 0.7604 Epoch 394/1500 576/576 [==============================] - 0s 154us/step - loss: 0.4239 - acc: 0.8021 - val_loss: 0.4947 - val_acc: 0.7604 Epoch 395/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4239 - acc: 0.8003 - val_loss: 0.4947 - val_acc: 0.7604 Epoch 396/1500 576/576 [==============================] - 0s 144us/step - loss: 0.4238 - acc: 0.8021 - val_loss: 0.4947 - val_acc: 0.7604 Epoch 397/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4237 - acc: 0.8056 - val_loss: 0.4947 - val_acc: 0.7604 Epoch 398/1500 576/576 [==============================] - 0s 147us/step - loss: 0.4236 - acc: 0.8056 - val_loss: 0.4947 - val_acc: 0.7604 Epoch 399/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4236 - acc: 0.8003 - val_loss: 0.4947 - val_acc: 0.7604 Epoch 400/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4235 - acc: 0.8021 - val_loss: 0.4947 - val_acc: 0.7604 Epoch 401/1500 576/576 [==============================] - 0s 139us/step - loss: 0.4234 - acc: 0.8038 - val_loss: 0.4947 - val_acc: 0.7604 Epoch 402/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4233 - acc: 0.8038 - val_loss: 0.4947 - val_acc: 0.7604 Epoch 403/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4233 - acc: 0.8038 - val_loss: 0.4947 - val_acc: 0.7604 Epoch 404/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4232 - acc: 0.8038 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 405/1500 576/576 [==============================] - 0s 141us/step - loss: 0.4231 - acc: 0.8056 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 406/1500 576/576 [==============================] - 0s 146us/step - loss: 0.4230 - acc: 0.8056 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 407/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4229 - acc: 0.8056 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 408/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4229 - acc: 0.8056 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 409/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4228 - acc: 0.8056 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 410/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4227 - acc: 0.8056 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 411/1500 576/576 [==============================] - 0s 141us/step - loss: 0.4226 - acc: 0.8056 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 412/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4226 - acc: 0.8056 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 413/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4225 - acc: 0.8056 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 414/1500 576/576 [==============================] - 0s 137us/step - loss: 0.4224 - acc: 0.8056 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 415/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4223 - acc: 0.8056 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 416/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4223 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 417/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4222 - acc: 0.8056 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 418/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4221 - acc: 0.8056 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 419/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4220 - acc: 0.8056 - val_loss: 0.4948 - val_acc: 0.7604 Epoch 420/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4219 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 421/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4218 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 422/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4218 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 423/1500 576/576 [==============================] - 0s 139us/step - loss: 0.4217 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 424/1500 576/576 [==============================] - 0s 137us/step - loss: 0.4216 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 425/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4215 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 426/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4215 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 427/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4214 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 428/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4214 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 429/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4213 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 430/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4211 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 431/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4210 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 432/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4210 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 433/1500 576/576 [==============================] - 0s 130us/step - loss: 0.4210 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 434/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4209 - acc: 0.8056 - val_loss: 0.4949 - val_acc: 0.7604 Epoch 435/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4208 - acc: 0.8056 - val_loss: 0.4950 - val_acc: 0.7604 Epoch 436/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4207 - acc: 0.8073 - val_loss: 0.4950 - val_acc: 0.7604 Epoch 437/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4206 - acc: 0.8073 - val_loss: 0.4950 - val_acc: 0.7604 Epoch 438/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4205 - acc: 0.8073 - val_loss: 0.4950 - val_acc: 0.7604 Epoch 439/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4204 - acc: 0.8073 - val_loss: 0.4950 - val_acc: 0.7604 Epoch 440/1500 576/576 [==============================] - 0s 137us/step - loss: 0.4204 - acc: 0.8073 - val_loss: 0.4950 - val_acc: 0.7604 Epoch 441/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4203 - acc: 0.8073 - val_loss: 0.4950 - val_acc: 0.7604 Epoch 442/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4202 - acc: 0.8073 - val_loss: 0.4950 - val_acc: 0.7604 Epoch 443/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4201 - acc: 0.8073 - val_loss: 0.4951 - val_acc: 0.7604 Epoch 444/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4201 - acc: 0.8073 - val_loss: 0.4951 - val_acc: 0.7604 Epoch 445/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4200 - acc: 0.8073 - val_loss: 0.4951 - val_acc: 0.7604 Epoch 446/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4199 - acc: 0.8073 - val_loss: 0.4951 - val_acc: 0.7604 Epoch 447/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4198 - acc: 0.8073 - val_loss: 0.4951 - val_acc: 0.7604 Epoch 448/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4198 - acc: 0.8073 - val_loss: 0.4951 - val_acc: 0.7604 Epoch 449/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4197 - acc: 0.8073 - val_loss: 0.4951 - val_acc: 0.7604 Epoch 450/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4196 - acc: 0.8073 - val_loss: 0.4951 - val_acc: 0.7604 Epoch 451/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4195 - acc: 0.8073 - val_loss: 0.4951 - val_acc: 0.7604 Epoch 452/1500 576/576 [==============================] - 0s 128us/step - loss: 0.4194 - acc: 0.8073 - val_loss: 0.4952 - val_acc: 0.7604 Epoch 453/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4194 - acc: 0.8073 - val_loss: 0.4952 - val_acc: 0.7604 Epoch 454/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4193 - acc: 0.8073 - val_loss: 0.4952 - val_acc: 0.7604 Epoch 455/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4192 - acc: 0.8073 - val_loss: 0.4952 - val_acc: 0.7604 Epoch 456/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4191 - acc: 0.8073 - val_loss: 0.4952 - val_acc: 0.7604 Epoch 457/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4191 - acc: 0.8073 - val_loss: 0.4952 - val_acc: 0.7604 Epoch 458/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4190 - acc: 0.8073 - val_loss: 0.4952 - val_acc: 0.7604 Epoch 459/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4188 - acc: 0.8073 - val_loss: 0.4952 - val_acc: 0.7604 Epoch 460/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4188 - acc: 0.8073 - val_loss: 0.4952 - val_acc: 0.7604 Epoch 461/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4188 - acc: 0.8073 - val_loss: 0.4952 - val_acc: 0.7604 Epoch 462/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4186 - acc: 0.8073 - val_loss: 0.4952 - val_acc: 0.7604 Epoch 463/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4185 - acc: 0.8073 - val_loss: 0.4953 - val_acc: 0.7604 Epoch 464/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4185 - acc: 0.8073 - val_loss: 0.4953 - val_acc: 0.7604 Epoch 465/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4184 - acc: 0.8073 - val_loss: 0.4953 - val_acc: 0.7604 Epoch 466/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4184 - acc: 0.8073 - val_loss: 0.4953 - val_acc: 0.7604 Epoch 467/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4183 - acc: 0.8073 - val_loss: 0.4953 - val_acc: 0.7552 Epoch 468/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4182 - acc: 0.8073 - val_loss: 0.4953 - val_acc: 0.7552 Epoch 469/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4181 - acc: 0.8073 - val_loss: 0.4954 - val_acc: 0.7552 Epoch 470/1500 576/576 [==============================] - 0s 141us/step - loss: 0.4180 - acc: 0.8073 - val_loss: 0.4954 - val_acc: 0.7552 Epoch 471/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4179 - acc: 0.8073 - val_loss: 0.4954 - val_acc: 0.7552 Epoch 472/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4178 - acc: 0.8073 - val_loss: 0.4954 - val_acc: 0.7552 Epoch 473/1500 576/576 [==============================] - 0s 120us/step - loss: 0.4178 - acc: 0.8073 - val_loss: 0.4954 - val_acc: 0.7552 Epoch 474/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4177 - acc: 0.8073 - val_loss: 0.4954 - val_acc: 0.7552 Epoch 475/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4176 - acc: 0.8073 - val_loss: 0.4954 - val_acc: 0.7552 Epoch 476/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4176 - acc: 0.8073 - val_loss: 0.4954 - val_acc: 0.7552 Epoch 477/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4175 - acc: 0.8073 - val_loss: 0.4954 - val_acc: 0.7552 Epoch 478/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4174 - acc: 0.8073 - val_loss: 0.4954 - val_acc: 0.7552 Epoch 479/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4173 - acc: 0.8073 - val_loss: 0.4954 - val_acc: 0.7604 Epoch 480/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4173 - acc: 0.8073 - val_loss: 0.4954 - val_acc: 0.7604 Epoch 481/1500 576/576 [==============================] - 0s 144us/step - loss: 0.4171 - acc: 0.8073 - val_loss: 0.4954 - val_acc: 0.7604 Epoch 482/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4171 - acc: 0.8073 - val_loss: 0.4955 - val_acc: 0.7604 Epoch 483/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4171 - acc: 0.8073 - val_loss: 0.4955 - val_acc: 0.7604 Epoch 484/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4169 - acc: 0.8073 - val_loss: 0.4955 - val_acc: 0.7604 Epoch 485/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4169 - acc: 0.8073 - val_loss: 0.4955 - val_acc: 0.7604 Epoch 486/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4168 - acc: 0.8073 - val_loss: 0.4955 - val_acc: 0.7604 Epoch 487/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4167 - acc: 0.8073 - val_loss: 0.4955 - val_acc: 0.7604 Epoch 488/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4167 - acc: 0.8073 - val_loss: 0.4955 - val_acc: 0.7604 Epoch 489/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4166 - acc: 0.8073 - val_loss: 0.4955 - val_acc: 0.7604 Epoch 490/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4165 - acc: 0.8073 - val_loss: 0.4955 - val_acc: 0.7604 Epoch 491/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4164 - acc: 0.8073 - val_loss: 0.4955 - val_acc: 0.7604 Epoch 492/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4164 - acc: 0.8073 - val_loss: 0.4955 - val_acc: 0.7604 Epoch 493/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4162 - acc: 0.8073 - val_loss: 0.4955 - val_acc: 0.7604 Epoch 494/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4162 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 495/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4162 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 496/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4160 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 497/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4160 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 498/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4159 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 499/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4158 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 500/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4158 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 501/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4156 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 502/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4156 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 503/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4156 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 504/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4155 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 505/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4154 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 506/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4153 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 507/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4152 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 508/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4152 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 509/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4151 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 510/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4150 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 511/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4150 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 512/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4149 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 513/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4148 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 514/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4147 - acc: 0.8073 - val_loss: 0.4956 - val_acc: 0.7604 Epoch 515/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4147 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 516/1500 576/576 [==============================] - 0s 158us/step - loss: 0.4146 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 517/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4146 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 518/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4144 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 519/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4144 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 520/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4143 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 521/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4142 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 522/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4142 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 523/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4141 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 524/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4141 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 525/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4140 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 526/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4139 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 527/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4138 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 528/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4137 - acc: 0.8073 - val_loss: 0.4957 - val_acc: 0.7604 Epoch 529/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4137 - acc: 0.8073 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 530/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4136 - acc: 0.8073 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 531/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4135 - acc: 0.8073 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 532/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4135 - acc: 0.8073 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 533/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4134 - acc: 0.8073 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 534/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4133 - acc: 0.8056 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 535/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4132 - acc: 0.8073 - val_loss: 0.4958 - val_acc: 0.7552 Epoch 536/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4132 - acc: 0.8090 - val_loss: 0.4958 - val_acc: 0.7552 Epoch 537/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4131 - acc: 0.8073 - val_loss: 0.4958 - val_acc: 0.7552 Epoch 538/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4130 - acc: 0.8073 - val_loss: 0.4958 - val_acc: 0.7552 Epoch 539/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4130 - acc: 0.8073 - val_loss: 0.4958 - val_acc: 0.7552 Epoch 540/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4128 - acc: 0.8073 - val_loss: 0.4958 - val_acc: 0.7552 Epoch 541/1500 576/576 [==============================] - 0s 125us/step - loss: 0.4128 - acc: 0.8073 - val_loss: 0.4958 - val_acc: 0.7552 Epoch 542/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4128 - acc: 0.8056 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 543/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4126 - acc: 0.8073 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 544/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4125 - acc: 0.8056 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 545/1500 576/576 [==============================] - 0s 160us/step - loss: 0.4125 - acc: 0.8056 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 546/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4125 - acc: 0.8073 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 547/1500 576/576 [==============================] - 0s 134us/step - loss: 0.4123 - acc: 0.8090 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 548/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4123 - acc: 0.8056 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 549/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4122 - acc: 0.8090 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 550/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4121 - acc: 0.8073 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 551/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4121 - acc: 0.8090 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 552/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4119 - acc: 0.8090 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 553/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4119 - acc: 0.8090 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 554/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4118 - acc: 0.8073 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 555/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4118 - acc: 0.8090 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 556/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4117 - acc: 0.8090 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 557/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4116 - acc: 0.8108 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 558/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4115 - acc: 0.8090 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 559/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4115 - acc: 0.8090 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 560/1500 576/576 [==============================] - 0s 120us/step - loss: 0.4114 - acc: 0.8090 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 561/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4113 - acc: 0.8108 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 562/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4112 - acc: 0.8090 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 563/1500 576/576 [==============================] - 0s 130us/step - loss: 0.4112 - acc: 0.8108 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 564/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4111 - acc: 0.8090 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 565/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4110 - acc: 0.8108 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 566/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4109 - acc: 0.8108 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 567/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4109 - acc: 0.8090 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 568/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4108 - acc: 0.8125 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 569/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4107 - acc: 0.8125 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 570/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4106 - acc: 0.8108 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 571/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4106 - acc: 0.8108 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 572/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4105 - acc: 0.8125 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 573/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4104 - acc: 0.8125 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 574/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4104 - acc: 0.8108 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 575/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4103 - acc: 0.8108 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 576/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4102 - acc: 0.8125 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 577/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4102 - acc: 0.8125 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 578/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4101 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 579/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4100 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 580/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4099 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 581/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4099 - acc: 0.8108 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 582/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4098 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 583/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4098 - acc: 0.8125 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 584/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4096 - acc: 0.8125 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 585/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4096 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 586/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4095 - acc: 0.8142 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 587/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4095 - acc: 0.8142 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 588/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4094 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 589/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4093 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 590/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4092 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 591/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4092 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 592/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4091 - acc: 0.8142 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 593/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4090 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 594/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4089 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 595/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4089 - acc: 0.8142 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 596/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4088 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 597/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4087 - acc: 0.8142 - val_loss: 0.4959 - val_acc: 0.7552 Epoch 598/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4087 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 599/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4086 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 600/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4086 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 601/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4085 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 602/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4085 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 603/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4083 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 604/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4082 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 605/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4082 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 606/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4081 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 607/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4081 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 608/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4080 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 609/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4079 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 610/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4079 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 611/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4078 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 612/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4077 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 613/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4077 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 614/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4077 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 615/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4075 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 616/1500 576/576 [==============================] - ETA: 0s - loss: 0.2280 - acc: 0.937 - 0s 104us/step - loss: 0.4075 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 617/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4074 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 618/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4073 - acc: 0.8142 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 619/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4072 - acc: 0.8142 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 620/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4072 - acc: 0.8142 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 621/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4071 - acc: 0.8142 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 622/1500 576/576 [==============================] - 0s 130us/step - loss: 0.4070 - acc: 0.8142 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 623/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4069 - acc: 0.8160 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 624/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4069 - acc: 0.8142 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 625/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4067 - acc: 0.8142 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 626/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4067 - acc: 0.8160 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 627/1500 576/576 [==============================] - 0s 90us/step - loss: 0.4066 - acc: 0.8160 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 628/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4066 - acc: 0.8160 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 629/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4064 - acc: 0.8160 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 630/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4064 - acc: 0.8160 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 631/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4063 - acc: 0.8160 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 632/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4063 - acc: 0.8160 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 633/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4062 - acc: 0.8160 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 634/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4061 - acc: 0.8160 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 635/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4060 - acc: 0.8160 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 636/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4059 - acc: 0.8160 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 637/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4059 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 638/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4058 - acc: 0.8142 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 639/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4056 - acc: 0.8160 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 640/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4056 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 641/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4056 - acc: 0.8160 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 642/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4055 - acc: 0.8160 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 643/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4054 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 644/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4053 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 645/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4053 - acc: 0.8142 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 646/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4051 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 647/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4051 - acc: 0.8160 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 648/1500 576/576 [==============================] - 0s 95us/step - loss: 0.4050 - acc: 0.8160 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 649/1500 576/576 [==============================] - 0s 88us/step - loss: 0.4050 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 650/1500 576/576 [==============================] - 0s 99us/step - loss: 0.4049 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 651/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4048 - acc: 0.8160 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 652/1500 576/576 [==============================] - 0s 92us/step - loss: 0.4047 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 653/1500 576/576 [==============================] - 0s 94us/step - loss: 0.4046 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 654/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4046 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 655/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4045 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 656/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4044 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 657/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4043 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 658/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4042 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 659/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4042 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 660/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4041 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 661/1500 576/576 [==============================] - 0s 156us/step - loss: 0.4040 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 662/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4039 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 663/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4039 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 664/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4038 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 665/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4037 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 666/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4037 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 667/1500 576/576 [==============================] - 0s 120us/step - loss: 0.4036 - acc: 0.8212 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 668/1500 576/576 [==============================] - 0s 147us/step - loss: 0.4036 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 669/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4034 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 670/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4034 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 671/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4033 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 672/1500 576/576 [==============================] - 0s 135us/step - loss: 0.4033 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 673/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4032 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 674/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4031 - acc: 0.8177 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 675/1500 576/576 [==============================] - 0s 146us/step - loss: 0.4031 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 676/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4029 - acc: 0.8194 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 677/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4029 - acc: 0.8212 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 678/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4028 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 679/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4027 - acc: 0.8177 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 680/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4026 - acc: 0.8177 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 681/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4026 - acc: 0.8194 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 682/1500 576/576 [==============================] - 0s 115us/step - loss: 0.4024 - acc: 0.8212 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 683/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4024 - acc: 0.8247 - val_loss: 0.4958 - val_acc: 0.7604 Epoch 684/1500 576/576 [==============================] - 0s 102us/step - loss: 0.4023 - acc: 0.8194 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 685/1500 576/576 [==============================] - 0s 141us/step - loss: 0.4022 - acc: 0.8212 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 686/1500 576/576 [==============================] - 0s 106us/step - loss: 0.4022 - acc: 0.8194 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 687/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4021 - acc: 0.8212 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 688/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4021 - acc: 0.8229 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 689/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4020 - acc: 0.8194 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 690/1500 576/576 [==============================] - 0s 97us/step - loss: 0.4019 - acc: 0.8194 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 691/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4018 - acc: 0.8212 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 692/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4017 - acc: 0.8212 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 693/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4016 - acc: 0.8212 - val_loss: 0.4959 - val_acc: 0.7604 Epoch 694/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4016 - acc: 0.8212 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 695/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4015 - acc: 0.8194 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 696/1500 576/576 [==============================] - 0s 118us/step - loss: 0.4015 - acc: 0.8229 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 697/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4014 - acc: 0.8212 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 698/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4014 - acc: 0.8212 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 699/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4013 - acc: 0.8212 - val_loss: 0.4960 - val_acc: 0.7604 Epoch 700/1500 576/576 [==============================] - 0s 123us/step - loss: 0.4012 - acc: 0.8229 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 701/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4011 - acc: 0.8212 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 702/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4011 - acc: 0.8229 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 703/1500 576/576 [==============================] - 0s 111us/step - loss: 0.4010 - acc: 0.8247 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 704/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4009 - acc: 0.8212 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 705/1500 576/576 [==============================] - 0s 109us/step - loss: 0.4008 - acc: 0.8247 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 706/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4007 - acc: 0.8229 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 707/1500 576/576 [==============================] - 0s 113us/step - loss: 0.4007 - acc: 0.8229 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 708/1500 576/576 [==============================] - 0s 104us/step - loss: 0.4006 - acc: 0.8229 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 709/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4006 - acc: 0.8229 - val_loss: 0.4960 - val_acc: 0.7552 Epoch 710/1500 576/576 [==============================] - 0s 116us/step - loss: 0.4005 - acc: 0.8264 - val_loss: 0.4961 - val_acc: 0.7552 Epoch 711/1500 576/576 [==============================] - 0s 101us/step - loss: 0.4004 - acc: 0.8229 - val_loss: 0.4961 - val_acc: 0.7552 Epoch 712/1500 576/576 [==============================] - 0s 108us/step - loss: 0.4003 - acc: 0.8229 - val_loss: 0.4961 - val_acc: 0.7552 Epoch 713/1500 576/576 [==============================] - 0s 121us/step - loss: 0.4002 - acc: 0.8229 - val_loss: 0.4961 - val_acc: 0.7552 Epoch 714/1500 576/576 [==============================] - 0s 120us/step - loss: 0.4001 - acc: 0.8229 - val_loss: 0.4961 - val_acc: 0.7604 Epoch 715/1500 576/576 [==============================] - 0s 127us/step - loss: 0.4001 - acc: 0.8229 - val_loss: 0.4961 - val_acc: 0.7604 Epoch 716/1500 576/576 [==============================] - 0s 132us/step - loss: 0.4000 - acc: 0.8247 - val_loss: 0.4961 - val_acc: 0.7604 Epoch 717/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3999 - acc: 0.8247 - val_loss: 0.4961 - val_acc: 0.7604 Epoch 718/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3999 - acc: 0.8229 - val_loss: 0.4961 - val_acc: 0.7604 Epoch 719/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3999 - acc: 0.8229 - val_loss: 0.4961 - val_acc: 0.7604 Epoch 720/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3997 - acc: 0.8229 - val_loss: 0.4961 - val_acc: 0.7604 Epoch 721/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3997 - acc: 0.8264 - val_loss: 0.4961 - val_acc: 0.7604 Epoch 722/1500 576/576 [==============================] - 0s 132us/step - loss: 0.3996 - acc: 0.8212 - val_loss: 0.4961 - val_acc: 0.7604 Epoch 723/1500 576/576 [==============================] - 0s 120us/step - loss: 0.3996 - acc: 0.8247 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 724/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3995 - acc: 0.8247 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 725/1500 576/576 [==============================] - 0s 141us/step - loss: 0.3994 - acc: 0.8247 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 726/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3993 - acc: 0.8247 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 727/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3993 - acc: 0.8264 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 728/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3992 - acc: 0.8247 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 729/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3992 - acc: 0.8229 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 730/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3991 - acc: 0.8229 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 731/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3990 - acc: 0.8229 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 732/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3989 - acc: 0.8247 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 733/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3989 - acc: 0.8264 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 734/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3988 - acc: 0.8229 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 735/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3987 - acc: 0.8247 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 736/1500 576/576 [==============================] - 0s 123us/step - loss: 0.3987 - acc: 0.8247 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 737/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3986 - acc: 0.8247 - val_loss: 0.4962 - val_acc: 0.7604 Epoch 738/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3985 - acc: 0.8212 - val_loss: 0.4963 - val_acc: 0.7604 Epoch 739/1500 576/576 [==============================] - 0s 135us/step - loss: 0.3985 - acc: 0.8247 - val_loss: 0.4963 - val_acc: 0.7604 Epoch 740/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3984 - acc: 0.8229 - val_loss: 0.4963 - val_acc: 0.7604 Epoch 741/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3984 - acc: 0.8229 - val_loss: 0.4963 - val_acc: 0.7604 Epoch 742/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3983 - acc: 0.8229 - val_loss: 0.4963 - val_acc: 0.7604 Epoch 743/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3982 - acc: 0.8247 - val_loss: 0.4963 - val_acc: 0.7604 Epoch 744/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3982 - acc: 0.8229 - val_loss: 0.4963 - val_acc: 0.7604 Epoch 745/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3981 - acc: 0.8247 - val_loss: 0.4963 - val_acc: 0.7604 Epoch 746/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3980 - acc: 0.8229 - val_loss: 0.4963 - val_acc: 0.7604 Epoch 747/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3980 - acc: 0.8264 - val_loss: 0.4964 - val_acc: 0.7604 Epoch 748/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3979 - acc: 0.8247 - val_loss: 0.4964 - val_acc: 0.7656 Epoch 749/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3978 - acc: 0.8247 - val_loss: 0.4964 - val_acc: 0.7656 Epoch 750/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3977 - acc: 0.8229 - val_loss: 0.4964 - val_acc: 0.7656 Epoch 751/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3977 - acc: 0.8247 - val_loss: 0.4964 - val_acc: 0.7604 Epoch 752/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3977 - acc: 0.8212 - val_loss: 0.4964 - val_acc: 0.7604 Epoch 753/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3976 - acc: 0.8229 - val_loss: 0.4964 - val_acc: 0.7604 Epoch 754/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3975 - acc: 0.8247 - val_loss: 0.4964 - val_acc: 0.7604 Epoch 755/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3975 - acc: 0.8229 - val_loss: 0.4964 - val_acc: 0.7656 Epoch 756/1500 576/576 [==============================] - ETA: 0s - loss: 0.3334 - acc: 0.843 - 0s 97us/step - loss: 0.3974 - acc: 0.8229 - val_loss: 0.4965 - val_acc: 0.7656 Epoch 757/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3973 - acc: 0.8247 - val_loss: 0.4965 - val_acc: 0.7656 Epoch 758/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3972 - acc: 0.8229 - val_loss: 0.4965 - val_acc: 0.7656 Epoch 759/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3972 - acc: 0.8229 - val_loss: 0.4965 - val_acc: 0.7656 Epoch 760/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3971 - acc: 0.8247 - val_loss: 0.4965 - val_acc: 0.7656 Epoch 761/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3970 - acc: 0.8247 - val_loss: 0.4965 - val_acc: 0.7656 Epoch 762/1500 576/576 [==============================] - 0s 137us/step - loss: 0.3969 - acc: 0.8229 - val_loss: 0.4965 - val_acc: 0.7604 Epoch 763/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3969 - acc: 0.8229 - val_loss: 0.4965 - val_acc: 0.7604 Epoch 764/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3969 - acc: 0.8229 - val_loss: 0.4965 - val_acc: 0.7604 Epoch 765/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3967 - acc: 0.8229 - val_loss: 0.4965 - val_acc: 0.7604 Epoch 766/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3967 - acc: 0.8229 - val_loss: 0.4965 - val_acc: 0.7604 Epoch 767/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3966 - acc: 0.8229 - val_loss: 0.4965 - val_acc: 0.7604 Epoch 768/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3965 - acc: 0.8229 - val_loss: 0.4966 - val_acc: 0.7604 Epoch 769/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3965 - acc: 0.8229 - val_loss: 0.4965 - val_acc: 0.7604 Epoch 770/1500 576/576 [==============================] - 0s 144us/step - loss: 0.3964 - acc: 0.8229 - val_loss: 0.4966 - val_acc: 0.7604 Epoch 771/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3964 - acc: 0.8247 - val_loss: 0.4965 - val_acc: 0.7604 Epoch 772/1500 576/576 [==============================] - 0s 135us/step - loss: 0.3963 - acc: 0.8229 - val_loss: 0.4966 - val_acc: 0.7604 Epoch 773/1500 576/576 [==============================] - 0s 135us/step - loss: 0.3962 - acc: 0.8229 - val_loss: 0.4966 - val_acc: 0.7604 Epoch 774/1500 576/576 [==============================] - 0s 120us/step - loss: 0.3962 - acc: 0.8229 - val_loss: 0.4966 - val_acc: 0.7604 Epoch 775/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3961 - acc: 0.8229 - val_loss: 0.4966 - val_acc: 0.7604 Epoch 776/1500 576/576 [==============================] - 0s 160us/step - loss: 0.3961 - acc: 0.8229 - val_loss: 0.4966 - val_acc: 0.7604 Epoch 777/1500 576/576 [==============================] - 0s 135us/step - loss: 0.3959 - acc: 0.8247 - val_loss: 0.4966 - val_acc: 0.7604 Epoch 778/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3959 - acc: 0.8229 - val_loss: 0.4966 - val_acc: 0.7604 Epoch 779/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3958 - acc: 0.8229 - val_loss: 0.4966 - val_acc: 0.7604 Epoch 780/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3958 - acc: 0.8229 - val_loss: 0.4966 - val_acc: 0.7604 Epoch 781/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3957 - acc: 0.8212 - val_loss: 0.4967 - val_acc: 0.7604 Epoch 782/1500 576/576 [==============================] - 0s 132us/step - loss: 0.3957 - acc: 0.8229 - val_loss: 0.4967 - val_acc: 0.7552 Epoch 783/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3956 - acc: 0.8229 - val_loss: 0.4967 - val_acc: 0.7552 Epoch 784/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3955 - acc: 0.8264 - val_loss: 0.4967 - val_acc: 0.7552 Epoch 785/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3954 - acc: 0.8229 - val_loss: 0.4967 - val_acc: 0.7552 Epoch 786/1500 576/576 [==============================] - 0s 135us/step - loss: 0.3954 - acc: 0.8247 - val_loss: 0.4967 - val_acc: 0.7552 Epoch 787/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3954 - acc: 0.8247 - val_loss: 0.4967 - val_acc: 0.7552 Epoch 788/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3953 - acc: 0.8247 - val_loss: 0.4967 - val_acc: 0.7552 Epoch 789/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3953 - acc: 0.8247 - val_loss: 0.4967 - val_acc: 0.7552 Epoch 790/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3952 - acc: 0.8247 - val_loss: 0.4968 - val_acc: 0.7552 Epoch 791/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3951 - acc: 0.8264 - val_loss: 0.4967 - val_acc: 0.7552 Epoch 792/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3951 - acc: 0.8229 - val_loss: 0.4968 - val_acc: 0.7552 Epoch 793/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3950 - acc: 0.8247 - val_loss: 0.4968 - val_acc: 0.7552 Epoch 794/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3949 - acc: 0.8247 - val_loss: 0.4968 - val_acc: 0.7552 Epoch 795/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3948 - acc: 0.8247 - val_loss: 0.4968 - val_acc: 0.7552 Epoch 796/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3948 - acc: 0.8247 - val_loss: 0.4968 - val_acc: 0.7552 Epoch 797/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3947 - acc: 0.8229 - val_loss: 0.4968 - val_acc: 0.7552 Epoch 798/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3947 - acc: 0.8281 - val_loss: 0.4968 - val_acc: 0.7552 Epoch 799/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3946 - acc: 0.8247 - val_loss: 0.4969 - val_acc: 0.7552 Epoch 800/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3945 - acc: 0.8229 - val_loss: 0.4969 - val_acc: 0.7552 Epoch 801/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3944 - acc: 0.8229 - val_loss: 0.4969 - val_acc: 0.7552 Epoch 802/1500 576/576 [==============================] - 0s 130us/step - loss: 0.3944 - acc: 0.8229 - val_loss: 0.4969 - val_acc: 0.7552 Epoch 803/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3943 - acc: 0.8229 - val_loss: 0.4969 - val_acc: 0.7552 Epoch 804/1500 576/576 [==============================] - 0s 135us/step - loss: 0.3942 - acc: 0.8229 - val_loss: 0.4970 - val_acc: 0.7552 Epoch 805/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3942 - acc: 0.8247 - val_loss: 0.4970 - val_acc: 0.7552 Epoch 806/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3941 - acc: 0.8229 - val_loss: 0.4970 - val_acc: 0.7552 Epoch 807/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3941 - acc: 0.8229 - val_loss: 0.4971 - val_acc: 0.7552 Epoch 808/1500 576/576 [==============================] - 0s 121us/step - loss: 0.3940 - acc: 0.8247 - val_loss: 0.4970 - val_acc: 0.7552 Epoch 809/1500 576/576 [==============================] - 0s 121us/step - loss: 0.3939 - acc: 0.8229 - val_loss: 0.4971 - val_acc: 0.7552 Epoch 810/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3939 - acc: 0.8229 - val_loss: 0.4971 - val_acc: 0.7552 Epoch 811/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3938 - acc: 0.8247 - val_loss: 0.4971 - val_acc: 0.7552 Epoch 812/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3937 - acc: 0.8229 - val_loss: 0.4971 - val_acc: 0.7552 Epoch 813/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3937 - acc: 0.8229 - val_loss: 0.4971 - val_acc: 0.7552 Epoch 814/1500 576/576 [==============================] - 0s 137us/step - loss: 0.3936 - acc: 0.8229 - val_loss: 0.4971 - val_acc: 0.7552 Epoch 815/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3936 - acc: 0.8247 - val_loss: 0.4972 - val_acc: 0.7552 Epoch 816/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3935 - acc: 0.8229 - val_loss: 0.4972 - val_acc: 0.7552 Epoch 817/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3934 - acc: 0.8229 - val_loss: 0.4972 - val_acc: 0.7552 Epoch 818/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3933 - acc: 0.8229 - val_loss: 0.4972 - val_acc: 0.7552 Epoch 819/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3933 - acc: 0.8247 - val_loss: 0.4973 - val_acc: 0.7552 Epoch 820/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3933 - acc: 0.8247 - val_loss: 0.4973 - val_acc: 0.7552 Epoch 821/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3932 - acc: 0.8247 - val_loss: 0.4973 - val_acc: 0.7552 Epoch 822/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3931 - acc: 0.8229 - val_loss: 0.4973 - val_acc: 0.7552 Epoch 823/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3930 - acc: 0.8247 - val_loss: 0.4974 - val_acc: 0.7552 Epoch 824/1500 576/576 [==============================] - 0s 87us/step - loss: 0.3930 - acc: 0.8229 - val_loss: 0.4974 - val_acc: 0.7552 Epoch 825/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3929 - acc: 0.8229 - val_loss: 0.4974 - val_acc: 0.7552 Epoch 826/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3929 - acc: 0.8247 - val_loss: 0.4974 - val_acc: 0.7552 Epoch 827/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3928 - acc: 0.8247 - val_loss: 0.4975 - val_acc: 0.7552 Epoch 828/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3927 - acc: 0.8247 - val_loss: 0.4975 - val_acc: 0.7552 Epoch 829/1500 576/576 [==============================] - 0s 88us/step - loss: 0.3927 - acc: 0.8247 - val_loss: 0.4975 - val_acc: 0.7552 Epoch 830/1500 576/576 [==============================] - 0s 88us/step - loss: 0.3926 - acc: 0.8247 - val_loss: 0.4975 - val_acc: 0.7552 Epoch 831/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3925 - acc: 0.8247 - val_loss: 0.4975 - val_acc: 0.7552 Epoch 832/1500 576/576 [==============================] - 0s 130us/step - loss: 0.3925 - acc: 0.8229 - val_loss: 0.4976 - val_acc: 0.7552 Epoch 833/1500 576/576 [==============================] - 0s 120us/step - loss: 0.3924 - acc: 0.8247 - val_loss: 0.4976 - val_acc: 0.7552 Epoch 834/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3923 - acc: 0.8247 - val_loss: 0.4976 - val_acc: 0.7552 Epoch 835/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3922 - acc: 0.8247 - val_loss: 0.4976 - val_acc: 0.7552 Epoch 836/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3922 - acc: 0.8264 - val_loss: 0.4976 - val_acc: 0.7552 Epoch 837/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3921 - acc: 0.8247 - val_loss: 0.4977 - val_acc: 0.7552 Epoch 838/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3921 - acc: 0.8247 - val_loss: 0.4977 - val_acc: 0.7552 Epoch 839/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3921 - acc: 0.8247 - val_loss: 0.4977 - val_acc: 0.7552 Epoch 840/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3920 - acc: 0.8247 - val_loss: 0.4977 - val_acc: 0.7552 Epoch 841/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3919 - acc: 0.8247 - val_loss: 0.4978 - val_acc: 0.7552 Epoch 842/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3918 - acc: 0.8264 - val_loss: 0.4978 - val_acc: 0.7552 Epoch 843/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3917 - acc: 0.8247 - val_loss: 0.4978 - val_acc: 0.7552 Epoch 844/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3917 - acc: 0.8247 - val_loss: 0.4978 - val_acc: 0.7552 Epoch 845/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3916 - acc: 0.8247 - val_loss: 0.4978 - val_acc: 0.7552 Epoch 846/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3915 - acc: 0.8247 - val_loss: 0.4979 - val_acc: 0.7552 Epoch 847/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3915 - acc: 0.8247 - val_loss: 0.4979 - val_acc: 0.7552 Epoch 848/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3914 - acc: 0.8247 - val_loss: 0.4979 - val_acc: 0.7552 Epoch 849/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3913 - acc: 0.8247 - val_loss: 0.4979 - val_acc: 0.7552 Epoch 850/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3913 - acc: 0.8264 - val_loss: 0.4980 - val_acc: 0.7552 Epoch 851/1500 576/576 [==============================] - 0s 132us/step - loss: 0.3913 - acc: 0.8247 - val_loss: 0.4980 - val_acc: 0.7552 Epoch 852/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3912 - acc: 0.8264 - val_loss: 0.4980 - val_acc: 0.7552 Epoch 853/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3911 - acc: 0.8247 - val_loss: 0.4981 - val_acc: 0.7552 Epoch 854/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3910 - acc: 0.8247 - val_loss: 0.4981 - val_acc: 0.7552 Epoch 855/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3910 - acc: 0.8247 - val_loss: 0.4981 - val_acc: 0.7552 Epoch 856/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3909 - acc: 0.8229 - val_loss: 0.4981 - val_acc: 0.7552 Epoch 857/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3908 - acc: 0.8247 - val_loss: 0.4981 - val_acc: 0.7552 Epoch 858/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3908 - acc: 0.8229 - val_loss: 0.4981 - val_acc: 0.7552 Epoch 859/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3907 - acc: 0.8247 - val_loss: 0.4981 - val_acc: 0.7552 Epoch 860/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3907 - acc: 0.8247 - val_loss: 0.4981 - val_acc: 0.7552 Epoch 861/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3906 - acc: 0.8247 - val_loss: 0.4982 - val_acc: 0.7552 Epoch 862/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3905 - acc: 0.8247 - val_loss: 0.4982 - val_acc: 0.7552 Epoch 863/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3904 - acc: 0.8247 - val_loss: 0.4982 - val_acc: 0.7552 Epoch 864/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3904 - acc: 0.8247 - val_loss: 0.4982 - val_acc: 0.7552 Epoch 865/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3903 - acc: 0.8247 - val_loss: 0.4982 - val_acc: 0.7552 Epoch 866/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3903 - acc: 0.8247 - val_loss: 0.4982 - val_acc: 0.7552 Epoch 867/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3902 - acc: 0.8247 - val_loss: 0.4983 - val_acc: 0.7552 Epoch 868/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3901 - acc: 0.8247 - val_loss: 0.4983 - val_acc: 0.7552 Epoch 869/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3901 - acc: 0.8247 - val_loss: 0.4983 - val_acc: 0.7552 Epoch 870/1500 576/576 [==============================] - 0s 88us/step - loss: 0.3900 - acc: 0.8229 - val_loss: 0.4983 - val_acc: 0.7552 Epoch 871/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3899 - acc: 0.8247 - val_loss: 0.4984 - val_acc: 0.7552 Epoch 872/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3898 - acc: 0.8229 - val_loss: 0.4984 - val_acc: 0.7552 Epoch 873/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3898 - acc: 0.8229 - val_loss: 0.4984 - val_acc: 0.7552 Epoch 874/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3897 - acc: 0.8229 - val_loss: 0.4985 - val_acc: 0.7552 Epoch 875/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3897 - acc: 0.8247 - val_loss: 0.4985 - val_acc: 0.7552 Epoch 876/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3896 - acc: 0.8247 - val_loss: 0.4985 - val_acc: 0.7552 Epoch 877/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3895 - acc: 0.8247 - val_loss: 0.4985 - val_acc: 0.7552 Epoch 878/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3895 - acc: 0.8229 - val_loss: 0.4985 - val_acc: 0.7552 Epoch 879/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3894 - acc: 0.8247 - val_loss: 0.4985 - val_acc: 0.7552 Epoch 880/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3894 - acc: 0.8229 - val_loss: 0.4985 - val_acc: 0.7552 Epoch 881/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3892 - acc: 0.8229 - val_loss: 0.4986 - val_acc: 0.7552 Epoch 882/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3892 - acc: 0.8229 - val_loss: 0.4986 - val_acc: 0.7552 Epoch 883/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3891 - acc: 0.8229 - val_loss: 0.4986 - val_acc: 0.7552 Epoch 884/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3891 - acc: 0.8247 - val_loss: 0.4986 - val_acc: 0.7552 Epoch 885/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3890 - acc: 0.8229 - val_loss: 0.4986 - val_acc: 0.7552 Epoch 886/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3890 - acc: 0.8247 - val_loss: 0.4986 - val_acc: 0.7552 Epoch 887/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3889 - acc: 0.8247 - val_loss: 0.4986 - val_acc: 0.7552 Epoch 888/1500 576/576 [==============================] - 0s 78us/step - loss: 0.3889 - acc: 0.8229 - val_loss: 0.4986 - val_acc: 0.7552 Epoch 889/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3887 - acc: 0.8229 - val_loss: 0.4986 - val_acc: 0.7552 Epoch 890/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3886 - acc: 0.8229 - val_loss: 0.4987 - val_acc: 0.7552 Epoch 891/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3886 - acc: 0.8229 - val_loss: 0.4987 - val_acc: 0.7552 Epoch 892/1500 576/576 [==============================] - 0s 85us/step - loss: 0.3885 - acc: 0.8229 - val_loss: 0.4987 - val_acc: 0.7552 Epoch 893/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3885 - acc: 0.8247 - val_loss: 0.4988 - val_acc: 0.7552 Epoch 894/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3884 - acc: 0.8229 - val_loss: 0.4988 - val_acc: 0.7552 Epoch 895/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3883 - acc: 0.8229 - val_loss: 0.4988 - val_acc: 0.7552 Epoch 896/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3883 - acc: 0.8229 - val_loss: 0.4988 - val_acc: 0.7552 Epoch 897/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3882 - acc: 0.8229 - val_loss: 0.4988 - val_acc: 0.7552 Epoch 898/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3881 - acc: 0.8247 - val_loss: 0.4988 - val_acc: 0.7552 Epoch 899/1500 576/576 [==============================] - 0s 135us/step - loss: 0.3881 - acc: 0.8229 - val_loss: 0.4988 - val_acc: 0.7552 Epoch 900/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3881 - acc: 0.8229 - val_loss: 0.4988 - val_acc: 0.7552 Epoch 901/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3880 - acc: 0.8247 - val_loss: 0.4988 - val_acc: 0.7552 Epoch 902/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3880 - acc: 0.8247 - val_loss: 0.4989 - val_acc: 0.7552 Epoch 903/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3879 - acc: 0.8229 - val_loss: 0.4989 - val_acc: 0.7552 Epoch 904/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3877 - acc: 0.8247 - val_loss: 0.4989 - val_acc: 0.7552 Epoch 905/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3877 - acc: 0.8229 - val_loss: 0.4989 - val_acc: 0.7552 Epoch 906/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3876 - acc: 0.8247 - val_loss: 0.4990 - val_acc: 0.7552 Epoch 907/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3876 - acc: 0.8247 - val_loss: 0.4990 - val_acc: 0.7552 Epoch 908/1500 576/576 [==============================] - 0s 123us/step - loss: 0.3875 - acc: 0.8247 - val_loss: 0.4990 - val_acc: 0.7552 Epoch 909/1500 576/576 [==============================] - 0s 146us/step - loss: 0.3874 - acc: 0.8247 - val_loss: 0.4990 - val_acc: 0.7552 Epoch 910/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3874 - acc: 0.8229 - val_loss: 0.4990 - val_acc: 0.7552 Epoch 911/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3873 - acc: 0.8247 - val_loss: 0.4990 - val_acc: 0.7552 Epoch 912/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3872 - acc: 0.8247 - val_loss: 0.4991 - val_acc: 0.7552 Epoch 913/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3872 - acc: 0.8247 - val_loss: 0.4991 - val_acc: 0.7552 Epoch 914/1500 576/576 [==============================] - 0s 137us/step - loss: 0.3871 - acc: 0.8229 - val_loss: 0.4991 - val_acc: 0.7552 Epoch 915/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3870 - acc: 0.8247 - val_loss: 0.4991 - val_acc: 0.7552 Epoch 916/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3870 - acc: 0.8247 - val_loss: 0.4991 - val_acc: 0.7552 Epoch 917/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3869 - acc: 0.8247 - val_loss: 0.4992 - val_acc: 0.7552 Epoch 918/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3868 - acc: 0.8247 - val_loss: 0.4991 - val_acc: 0.7552 Epoch 919/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3867 - acc: 0.8247 - val_loss: 0.4992 - val_acc: 0.7552 Epoch 920/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3867 - acc: 0.8247 - val_loss: 0.4992 - val_acc: 0.7552 Epoch 921/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3867 - acc: 0.8247 - val_loss: 0.4992 - val_acc: 0.7604 Epoch 922/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3866 - acc: 0.8247 - val_loss: 0.4992 - val_acc: 0.7604 Epoch 923/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3866 - acc: 0.8247 - val_loss: 0.4992 - val_acc: 0.7604 Epoch 924/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3865 - acc: 0.8247 - val_loss: 0.4992 - val_acc: 0.7604 Epoch 925/1500 576/576 [==============================] - 0s 123us/step - loss: 0.3864 - acc: 0.8247 - val_loss: 0.4993 - val_acc: 0.7604 Epoch 926/1500 576/576 [==============================] - 0s 123us/step - loss: 0.3863 - acc: 0.8247 - val_loss: 0.4993 - val_acc: 0.7604 Epoch 927/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3863 - acc: 0.8247 - val_loss: 0.4993 - val_acc: 0.7604 Epoch 928/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3862 - acc: 0.8247 - val_loss: 0.4993 - val_acc: 0.7604 Epoch 929/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3862 - acc: 0.8247 - val_loss: 0.4993 - val_acc: 0.7604 Epoch 930/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3861 - acc: 0.8247 - val_loss: 0.4994 - val_acc: 0.7604 Epoch 931/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3860 - acc: 0.8247 - val_loss: 0.4994 - val_acc: 0.7604 Epoch 932/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3860 - acc: 0.8247 - val_loss: 0.4994 - val_acc: 0.7604 Epoch 933/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3860 - acc: 0.8247 - val_loss: 0.4995 - val_acc: 0.7604 Epoch 934/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3859 - acc: 0.8247 - val_loss: 0.4994 - val_acc: 0.7604 Epoch 935/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3858 - acc: 0.8247 - val_loss: 0.4995 - val_acc: 0.7604 Epoch 936/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3857 - acc: 0.8247 - val_loss: 0.4995 - val_acc: 0.7552 Epoch 937/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3857 - acc: 0.8247 - val_loss: 0.4995 - val_acc: 0.7552 Epoch 938/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3857 - acc: 0.8247 - val_loss: 0.4995 - val_acc: 0.7552 Epoch 939/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3855 - acc: 0.8247 - val_loss: 0.4996 - val_acc: 0.7552 Epoch 940/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3855 - acc: 0.8247 - val_loss: 0.4996 - val_acc: 0.7552 Epoch 941/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3854 - acc: 0.8247 - val_loss: 0.4996 - val_acc: 0.7552 Epoch 942/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3854 - acc: 0.8247 - val_loss: 0.4996 - val_acc: 0.7552 Epoch 943/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3853 - acc: 0.8247 - val_loss: 0.4996 - val_acc: 0.7552 Epoch 944/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3852 - acc: 0.8247 - val_loss: 0.4997 - val_acc: 0.7552 Epoch 945/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3852 - acc: 0.8247 - val_loss: 0.4997 - val_acc: 0.7552 Epoch 946/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3851 - acc: 0.8247 - val_loss: 0.4997 - val_acc: 0.7552 Epoch 947/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3851 - acc: 0.8247 - val_loss: 0.4997 - val_acc: 0.7552 Epoch 948/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3850 - acc: 0.8247 - val_loss: 0.4997 - val_acc: 0.7552 Epoch 949/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3849 - acc: 0.8247 - val_loss: 0.4997 - val_acc: 0.7552 Epoch 950/1500 576/576 [==============================] - 0s 139us/step - loss: 0.3849 - acc: 0.8247 - val_loss: 0.4997 - val_acc: 0.7552 Epoch 951/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3848 - acc: 0.8247 - val_loss: 0.4998 - val_acc: 0.7552 Epoch 952/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3848 - acc: 0.8247 - val_loss: 0.4998 - val_acc: 0.7552 Epoch 953/1500 576/576 [==============================] - 0s 123us/step - loss: 0.3847 - acc: 0.8247 - val_loss: 0.4998 - val_acc: 0.7552 Epoch 954/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3846 - acc: 0.8247 - val_loss: 0.4998 - val_acc: 0.7552 Epoch 955/1500 576/576 [==============================] - 0s 123us/step - loss: 0.3846 - acc: 0.8247 - val_loss: 0.4998 - val_acc: 0.7552 Epoch 956/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3845 - acc: 0.8247 - val_loss: 0.4999 - val_acc: 0.7552 Epoch 957/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3844 - acc: 0.8247 - val_loss: 0.4999 - val_acc: 0.7552 Epoch 958/1500 576/576 [==============================] - 0s 146us/step - loss: 0.3844 - acc: 0.8247 - val_loss: 0.4998 - val_acc: 0.7552 Epoch 959/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3843 - acc: 0.8229 - val_loss: 0.4999 - val_acc: 0.7552 Epoch 960/1500 576/576 [==============================] - 0s 132us/step - loss: 0.3843 - acc: 0.8229 - val_loss: 0.4999 - val_acc: 0.7552 Epoch 961/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3842 - acc: 0.8247 - val_loss: 0.4999 - val_acc: 0.7552 Epoch 962/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3841 - acc: 0.8247 - val_loss: 0.5000 - val_acc: 0.7552 Epoch 963/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3841 - acc: 0.8247 - val_loss: 0.5000 - val_acc: 0.7552 Epoch 964/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3840 - acc: 0.8229 - val_loss: 0.5000 - val_acc: 0.7552 Epoch 965/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3840 - acc: 0.8229 - val_loss: 0.5000 - val_acc: 0.7552 Epoch 966/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3838 - acc: 0.8247 - val_loss: 0.5000 - val_acc: 0.7552 Epoch 967/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3839 - acc: 0.8247 - val_loss: 0.5000 - val_acc: 0.7552 Epoch 968/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3838 - acc: 0.8247 - val_loss: 0.5000 - val_acc: 0.7552 Epoch 969/1500 576/576 [==============================] - 0s 123us/step - loss: 0.3837 - acc: 0.8247 - val_loss: 0.5001 - val_acc: 0.7552 Epoch 970/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3836 - acc: 0.8229 - val_loss: 0.5001 - val_acc: 0.7552 Epoch 971/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3836 - acc: 0.8247 - val_loss: 0.5001 - val_acc: 0.7552 Epoch 972/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3835 - acc: 0.8229 - val_loss: 0.5001 - val_acc: 0.7500 Epoch 973/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3835 - acc: 0.8247 - val_loss: 0.5001 - val_acc: 0.7500 Epoch 974/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3834 - acc: 0.8247 - val_loss: 0.5001 - val_acc: 0.7500 Epoch 975/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3833 - acc: 0.8229 - val_loss: 0.5002 - val_acc: 0.7500 Epoch 976/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3833 - acc: 0.8229 - val_loss: 0.5002 - val_acc: 0.7500 Epoch 977/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3832 - acc: 0.8229 - val_loss: 0.5002 - val_acc: 0.7500 Epoch 978/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3830 - acc: 0.8229 - val_loss: 0.5002 - val_acc: 0.7500 Epoch 979/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3831 - acc: 0.8229 - val_loss: 0.5002 - val_acc: 0.7500 Epoch 980/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3830 - acc: 0.8229 - val_loss: 0.5002 - val_acc: 0.7500 Epoch 981/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3829 - acc: 0.8229 - val_loss: 0.5003 - val_acc: 0.7500 Epoch 982/1500 576/576 [==============================] - ETA: 0s - loss: 0.4469 - acc: 0.718 - 0s 108us/step - loss: 0.3829 - acc: 0.8229 - val_loss: 0.5003 - val_acc: 0.7500 Epoch 983/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3828 - acc: 0.8229 - val_loss: 0.5003 - val_acc: 0.7500 Epoch 984/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3827 - acc: 0.8229 - val_loss: 0.5004 - val_acc: 0.7500 Epoch 985/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3826 - acc: 0.8229 - val_loss: 0.5004 - val_acc: 0.7500 Epoch 986/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3826 - acc: 0.8229 - val_loss: 0.5004 - val_acc: 0.7500 Epoch 987/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3825 - acc: 0.8229 - val_loss: 0.5004 - val_acc: 0.7500 Epoch 988/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3825 - acc: 0.8247 - val_loss: 0.5004 - val_acc: 0.7500 Epoch 989/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3824 - acc: 0.8229 - val_loss: 0.5005 - val_acc: 0.7500 Epoch 990/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3823 - acc: 0.8229 - val_loss: 0.5005 - val_acc: 0.7500 Epoch 991/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3823 - acc: 0.8229 - val_loss: 0.5005 - val_acc: 0.7500 Epoch 992/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3822 - acc: 0.8229 - val_loss: 0.5006 - val_acc: 0.7500 Epoch 993/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3822 - acc: 0.8229 - val_loss: 0.5006 - val_acc: 0.7500 Epoch 994/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3821 - acc: 0.8229 - val_loss: 0.5006 - val_acc: 0.7500 Epoch 995/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3820 - acc: 0.8229 - val_loss: 0.5007 - val_acc: 0.7500 Epoch 996/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3820 - acc: 0.8229 - val_loss: 0.5007 - val_acc: 0.7500 Epoch 997/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3818 - acc: 0.8229 - val_loss: 0.5007 - val_acc: 0.7500 Epoch 998/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3818 - acc: 0.8229 - val_loss: 0.5007 - val_acc: 0.7500 Epoch 999/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3818 - acc: 0.8229 - val_loss: 0.5008 - val_acc: 0.7500 Epoch 1000/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3817 - acc: 0.8229 - val_loss: 0.5008 - val_acc: 0.7500 Epoch 1001/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3816 - acc: 0.8229 - val_loss: 0.5008 - val_acc: 0.7500 Epoch 1002/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3816 - acc: 0.8229 - val_loss: 0.5008 - val_acc: 0.7500 Epoch 1003/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3815 - acc: 0.8229 - val_loss: 0.5009 - val_acc: 0.7500 Epoch 1004/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3814 - acc: 0.8229 - val_loss: 0.5008 - val_acc: 0.7500 Epoch 1005/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3813 - acc: 0.8229 - val_loss: 0.5009 - val_acc: 0.7500 Epoch 1006/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3813 - acc: 0.8229 - val_loss: 0.5009 - val_acc: 0.7500 Epoch 1007/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3812 - acc: 0.8229 - val_loss: 0.5009 - val_acc: 0.7500 Epoch 1008/1500 576/576 [==============================] - 0s 123us/step - loss: 0.3812 - acc: 0.8229 - val_loss: 0.5009 - val_acc: 0.7500 Epoch 1009/1500 576/576 [==============================] - 0s 158us/step - loss: 0.3811 - acc: 0.8229 - val_loss: 0.5010 - val_acc: 0.7500 Epoch 1010/1500 576/576 [==============================] - 0s 168us/step - loss: 0.3810 - acc: 0.8229 - val_loss: 0.5011 - val_acc: 0.7500 Epoch 1011/1500 576/576 [==============================] - 0s 142us/step - loss: 0.3810 - acc: 0.8229 - val_loss: 0.5011 - val_acc: 0.7500 Epoch 1012/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3809 - acc: 0.8229 - val_loss: 0.5011 - val_acc: 0.7500 Epoch 1013/1500 576/576 [==============================] - 0s 132us/step - loss: 0.3809 - acc: 0.8229 - val_loss: 0.5011 - val_acc: 0.7500 Epoch 1014/1500 576/576 [==============================] - 0s 137us/step - loss: 0.3807 - acc: 0.8229 - val_loss: 0.5011 - val_acc: 0.7500 Epoch 1015/1500 576/576 [==============================] - 0s 151us/step - loss: 0.3807 - acc: 0.8229 - val_loss: 0.5012 - val_acc: 0.7500 Epoch 1016/1500 576/576 [==============================] - 0s 142us/step - loss: 0.3806 - acc: 0.8229 - val_loss: 0.5011 - val_acc: 0.7500 Epoch 1017/1500 576/576 [==============================] - 0s 147us/step - loss: 0.3805 - acc: 0.8229 - val_loss: 0.5012 - val_acc: 0.7500 Epoch 1018/1500 576/576 [==============================] - 0s 121us/step - loss: 0.3805 - acc: 0.8229 - val_loss: 0.5012 - val_acc: 0.7500 Epoch 1019/1500 576/576 [==============================] - 0s 139us/step - loss: 0.3804 - acc: 0.8229 - val_loss: 0.5012 - val_acc: 0.7500 Epoch 1020/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3804 - acc: 0.8229 - val_loss: 0.5012 - val_acc: 0.7500 Epoch 1021/1500 576/576 [==============================] - ETA: 0s - loss: 0.3918 - acc: 0.818 - 0s 141us/step - loss: 0.3803 - acc: 0.8229 - val_loss: 0.5013 - val_acc: 0.7500 Epoch 1022/1500 576/576 [==============================] - 0s 130us/step - loss: 0.3802 - acc: 0.8229 - val_loss: 0.5013 - val_acc: 0.7500 Epoch 1023/1500 576/576 [==============================] - 0s 120us/step - loss: 0.3801 - acc: 0.8229 - val_loss: 0.5013 - val_acc: 0.7500 Epoch 1024/1500 576/576 [==============================] - 0s 154us/step - loss: 0.3801 - acc: 0.8229 - val_loss: 0.5013 - val_acc: 0.7500 Epoch 1025/1500 576/576 [==============================] - 0s 142us/step - loss: 0.3800 - acc: 0.8229 - val_loss: 0.5013 - val_acc: 0.7500 Epoch 1026/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3800 - acc: 0.8229 - val_loss: 0.5014 - val_acc: 0.7500 Epoch 1027/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3799 - acc: 0.8229 - val_loss: 0.5014 - val_acc: 0.7500 Epoch 1028/1500 576/576 [==============================] - 0s 144us/step - loss: 0.3798 - acc: 0.8229 - val_loss: 0.5014 - val_acc: 0.7500 Epoch 1029/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3797 - acc: 0.8229 - val_loss: 0.5014 - val_acc: 0.7500 Epoch 1030/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3797 - acc: 0.8229 - val_loss: 0.5014 - val_acc: 0.7500 Epoch 1031/1500 576/576 [==============================] - 0s 146us/step - loss: 0.3796 - acc: 0.8229 - val_loss: 0.5015 - val_acc: 0.7500 Epoch 1032/1500 576/576 [==============================] - 0s 134us/step - loss: 0.3796 - acc: 0.8229 - val_loss: 0.5015 - val_acc: 0.7500 Epoch 1033/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3795 - acc: 0.8229 - val_loss: 0.5015 - val_acc: 0.7500 Epoch 1034/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3794 - acc: 0.8229 - val_loss: 0.5015 - val_acc: 0.7500 Epoch 1035/1500 576/576 [==============================] - 0s 146us/step - loss: 0.3794 - acc: 0.8229 - val_loss: 0.5016 - val_acc: 0.7500 Epoch 1036/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3793 - acc: 0.8229 - val_loss: 0.5016 - val_acc: 0.7500 Epoch 1037/1500 576/576 [==============================] - 0s 130us/step - loss: 0.3792 - acc: 0.8229 - val_loss: 0.5016 - val_acc: 0.7500 Epoch 1038/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3792 - acc: 0.8229 - val_loss: 0.5017 - val_acc: 0.7500 Epoch 1039/1500 576/576 [==============================] - 0s 142us/step - loss: 0.3791 - acc: 0.8229 - val_loss: 0.5017 - val_acc: 0.7500 Epoch 1040/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3791 - acc: 0.8247 - val_loss: 0.5017 - val_acc: 0.7500 Epoch 1041/1500 576/576 [==============================] - 0s 147us/step - loss: 0.3790 - acc: 0.8247 - val_loss: 0.5018 - val_acc: 0.7500 Epoch 1042/1500 576/576 [==============================] - 0s 144us/step - loss: 0.3789 - acc: 0.8229 - val_loss: 0.5017 - val_acc: 0.7500 Epoch 1043/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3788 - acc: 0.8229 - val_loss: 0.5018 - val_acc: 0.7500 Epoch 1044/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3787 - acc: 0.8229 - val_loss: 0.5018 - val_acc: 0.7500 Epoch 1045/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3787 - acc: 0.8229 - val_loss: 0.5018 - val_acc: 0.7500 Epoch 1046/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3787 - acc: 0.8229 - val_loss: 0.5019 - val_acc: 0.7500 Epoch 1047/1500 576/576 [==============================] - 0s 139us/step - loss: 0.3786 - acc: 0.8229 - val_loss: 0.5019 - val_acc: 0.7500 Epoch 1048/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3785 - acc: 0.8247 - val_loss: 0.5019 - val_acc: 0.7500 Epoch 1049/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3784 - acc: 0.8247 - val_loss: 0.5019 - val_acc: 0.7500 Epoch 1050/1500 576/576 [==============================] - 0s 151us/step - loss: 0.3783 - acc: 0.8229 - val_loss: 0.5020 - val_acc: 0.7500 Epoch 1051/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3783 - acc: 0.8247 - val_loss: 0.5021 - val_acc: 0.7500 Epoch 1052/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3783 - acc: 0.8229 - val_loss: 0.5021 - val_acc: 0.7500 Epoch 1053/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3782 - acc: 0.8229 - val_loss: 0.5021 - val_acc: 0.7500 Epoch 1054/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3782 - acc: 0.8247 - val_loss: 0.5021 - val_acc: 0.7500 Epoch 1055/1500 576/576 [==============================] - 0s 135us/step - loss: 0.3781 - acc: 0.8247 - val_loss: 0.5021 - val_acc: 0.7500 Epoch 1056/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3780 - acc: 0.8229 - val_loss: 0.5021 - val_acc: 0.7500 Epoch 1057/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3779 - acc: 0.8229 - val_loss: 0.5022 - val_acc: 0.7500 Epoch 1058/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3778 - acc: 0.8229 - val_loss: 0.5022 - val_acc: 0.7500 Epoch 1059/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3778 - acc: 0.8229 - val_loss: 0.5023 - val_acc: 0.7500 Epoch 1060/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3777 - acc: 0.8247 - val_loss: 0.5023 - val_acc: 0.7500 Epoch 1061/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3776 - acc: 0.8247 - val_loss: 0.5023 - val_acc: 0.7500 Epoch 1062/1500 576/576 [==============================] - 0s 87us/step - loss: 0.3776 - acc: 0.8229 - val_loss: 0.5024 - val_acc: 0.7500 Epoch 1063/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3775 - acc: 0.8247 - val_loss: 0.5024 - val_acc: 0.7500 Epoch 1064/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3774 - acc: 0.8229 - val_loss: 0.5025 - val_acc: 0.7500 Epoch 1065/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3774 - acc: 0.8247 - val_loss: 0.5025 - val_acc: 0.7500 Epoch 1066/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3773 - acc: 0.8247 - val_loss: 0.5025 - val_acc: 0.7500 Epoch 1067/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3773 - acc: 0.8247 - val_loss: 0.5025 - val_acc: 0.7500 Epoch 1068/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3772 - acc: 0.8247 - val_loss: 0.5026 - val_acc: 0.7500 Epoch 1069/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3771 - acc: 0.8247 - val_loss: 0.5026 - val_acc: 0.7500 Epoch 1070/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3771 - acc: 0.8247 - val_loss: 0.5026 - val_acc: 0.7500 Epoch 1071/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3770 - acc: 0.8247 - val_loss: 0.5027 - val_acc: 0.7500 Epoch 1072/1500 576/576 [==============================] - 0s 130us/step - loss: 0.3769 - acc: 0.8247 - val_loss: 0.5026 - val_acc: 0.7500 Epoch 1073/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3768 - acc: 0.8247 - val_loss: 0.5027 - val_acc: 0.7500 Epoch 1074/1500 576/576 [==============================] - 0s 139us/step - loss: 0.3768 - acc: 0.8247 - val_loss: 0.5027 - val_acc: 0.7500 Epoch 1075/1500 576/576 [==============================] - 0s 154us/step - loss: 0.3767 - acc: 0.8247 - val_loss: 0.5028 - val_acc: 0.7500 Epoch 1076/1500 576/576 [==============================] - 0s 144us/step - loss: 0.3767 - acc: 0.8247 - val_loss: 0.5028 - val_acc: 0.7500 Epoch 1077/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3767 - acc: 0.8247 - val_loss: 0.5028 - val_acc: 0.7500 Epoch 1078/1500 576/576 [==============================] - 0s 156us/step - loss: 0.3765 - acc: 0.8247 - val_loss: 0.5028 - val_acc: 0.7500 Epoch 1079/1500 576/576 [==============================] - 0s 149us/step - loss: 0.3764 - acc: 0.8247 - val_loss: 0.5028 - val_acc: 0.7500 Epoch 1080/1500 576/576 [==============================] - 0s 144us/step - loss: 0.3764 - acc: 0.8247 - val_loss: 0.5028 - val_acc: 0.7500 Epoch 1081/1500 576/576 [==============================] - 0s 132us/step - loss: 0.3763 - acc: 0.8247 - val_loss: 0.5029 - val_acc: 0.7500 Epoch 1082/1500 576/576 [==============================] - 0s 141us/step - loss: 0.3763 - acc: 0.8247 - val_loss: 0.5029 - val_acc: 0.7500 Epoch 1083/1500 576/576 [==============================] - 0s 135us/step - loss: 0.3762 - acc: 0.8247 - val_loss: 0.5029 - val_acc: 0.7500 Epoch 1084/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3761 - acc: 0.8247 - val_loss: 0.5029 - val_acc: 0.7500 Epoch 1085/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3761 - acc: 0.8247 - val_loss: 0.5030 - val_acc: 0.7500 Epoch 1086/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3760 - acc: 0.8247 - val_loss: 0.5030 - val_acc: 0.7500 Epoch 1087/1500 576/576 [==============================] - 0s 134us/step - loss: 0.3760 - acc: 0.8247 - val_loss: 0.5030 - val_acc: 0.7500 Epoch 1088/1500 576/576 [==============================] - 0s 132us/step - loss: 0.3759 - acc: 0.8247 - val_loss: 0.5030 - val_acc: 0.7500 Epoch 1089/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3759 - acc: 0.8247 - val_loss: 0.5030 - val_acc: 0.7500 Epoch 1090/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3757 - acc: 0.8247 - val_loss: 0.5031 - val_acc: 0.7500 Epoch 1091/1500 576/576 [==============================] - 0s 130us/step - loss: 0.3757 - acc: 0.8247 - val_loss: 0.5030 - val_acc: 0.7500 Epoch 1092/1500 576/576 [==============================] - 0s 144us/step - loss: 0.3756 - acc: 0.8264 - val_loss: 0.5031 - val_acc: 0.7500 Epoch 1093/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3755 - acc: 0.8247 - val_loss: 0.5031 - val_acc: 0.7500 Epoch 1094/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3755 - acc: 0.8247 - val_loss: 0.5031 - val_acc: 0.7500 Epoch 1095/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3754 - acc: 0.8247 - val_loss: 0.5031 - val_acc: 0.7500 Epoch 1096/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3753 - acc: 0.8247 - val_loss: 0.5031 - val_acc: 0.7500 Epoch 1097/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3752 - acc: 0.8247 - val_loss: 0.5031 - val_acc: 0.7500 Epoch 1098/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3752 - acc: 0.8247 - val_loss: 0.5032 - val_acc: 0.7500 Epoch 1099/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3752 - acc: 0.8247 - val_loss: 0.5032 - val_acc: 0.7500 Epoch 1100/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3751 - acc: 0.8247 - val_loss: 0.5033 - val_acc: 0.7500 Epoch 1101/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3751 - acc: 0.8247 - val_loss: 0.5032 - val_acc: 0.7448 Epoch 1102/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3749 - acc: 0.8247 - val_loss: 0.5033 - val_acc: 0.7500 Epoch 1103/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3748 - acc: 0.8247 - val_loss: 0.5033 - val_acc: 0.7500 Epoch 1104/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3748 - acc: 0.8247 - val_loss: 0.5034 - val_acc: 0.7500 Epoch 1105/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3748 - acc: 0.8247 - val_loss: 0.5034 - val_acc: 0.7500 Epoch 1106/1500 576/576 [==============================] - 0s 130us/step - loss: 0.3746 - acc: 0.8247 - val_loss: 0.5034 - val_acc: 0.7500 Epoch 1107/1500 576/576 [==============================] - 0s 149us/step - loss: 0.3747 - acc: 0.8264 - val_loss: 0.5035 - val_acc: 0.7500 Epoch 1108/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3746 - acc: 0.8264 - val_loss: 0.5034 - val_acc: 0.7500 Epoch 1109/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3745 - acc: 0.8264 - val_loss: 0.5034 - val_acc: 0.7500 Epoch 1110/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3744 - acc: 0.8264 - val_loss: 0.5035 - val_acc: 0.7500 Epoch 1111/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3743 - acc: 0.8247 - val_loss: 0.5035 - val_acc: 0.7448 Epoch 1112/1500 576/576 [==============================] - 0s 121us/step - loss: 0.3743 - acc: 0.8264 - val_loss: 0.5036 - val_acc: 0.7500 Epoch 1113/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3742 - acc: 0.8264 - val_loss: 0.5036 - val_acc: 0.7500 Epoch 1114/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3741 - acc: 0.8264 - val_loss: 0.5036 - val_acc: 0.7500 Epoch 1115/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3741 - acc: 0.8264 - val_loss: 0.5037 - val_acc: 0.7448 Epoch 1116/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3740 - acc: 0.8247 - val_loss: 0.5037 - val_acc: 0.7500 Epoch 1117/1500 576/576 [==============================] - 0s 137us/step - loss: 0.3740 - acc: 0.8264 - val_loss: 0.5038 - val_acc: 0.7500 Epoch 1118/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3740 - acc: 0.8264 - val_loss: 0.5038 - val_acc: 0.7500 Epoch 1119/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3738 - acc: 0.8264 - val_loss: 0.5038 - val_acc: 0.7500 Epoch 1120/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3738 - acc: 0.8264 - val_loss: 0.5039 - val_acc: 0.7500 Epoch 1121/1500 576/576 [==============================] - 0s 135us/step - loss: 0.3737 - acc: 0.8264 - val_loss: 0.5038 - val_acc: 0.7500 Epoch 1122/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3737 - acc: 0.8247 - val_loss: 0.5038 - val_acc: 0.7448 Epoch 1123/1500 576/576 [==============================] - 0s 121us/step - loss: 0.3735 - acc: 0.8264 - val_loss: 0.5039 - val_acc: 0.7448 Epoch 1124/1500 576/576 [==============================] - 0s 172us/step - loss: 0.3736 - acc: 0.8264 - val_loss: 0.5039 - val_acc: 0.7448 Epoch 1125/1500 576/576 [==============================] - 0s 130us/step - loss: 0.3734 - acc: 0.8247 - val_loss: 0.5039 - val_acc: 0.7448 Epoch 1126/1500 576/576 [==============================] - 0s 147us/step - loss: 0.3734 - acc: 0.8264 - val_loss: 0.5039 - val_acc: 0.7448 Epoch 1127/1500 576/576 [==============================] - 0s 120us/step - loss: 0.3733 - acc: 0.8264 - val_loss: 0.5039 - val_acc: 0.7448 Epoch 1128/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3733 - acc: 0.8281 - val_loss: 0.5039 - val_acc: 0.7448 Epoch 1129/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3732 - acc: 0.8264 - val_loss: 0.5039 - val_acc: 0.7448 Epoch 1130/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3732 - acc: 0.8264 - val_loss: 0.5039 - val_acc: 0.7448 Epoch 1131/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3731 - acc: 0.8281 - val_loss: 0.5040 - val_acc: 0.7448 Epoch 1132/1500 576/576 [==============================] - 0s 134us/step - loss: 0.3730 - acc: 0.8281 - val_loss: 0.5041 - val_acc: 0.7500 Epoch 1133/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3729 - acc: 0.8281 - val_loss: 0.5041 - val_acc: 0.7448 Epoch 1134/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3729 - acc: 0.8281 - val_loss: 0.5041 - val_acc: 0.7448 Epoch 1135/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3728 - acc: 0.8264 - val_loss: 0.5041 - val_acc: 0.7448 Epoch 1136/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3727 - acc: 0.8264 - val_loss: 0.5041 - val_acc: 0.7448 Epoch 1137/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3727 - acc: 0.8281 - val_loss: 0.5041 - val_acc: 0.7448 Epoch 1138/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3726 - acc: 0.8281 - val_loss: 0.5041 - val_acc: 0.7448 Epoch 1139/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3725 - acc: 0.8281 - val_loss: 0.5042 - val_acc: 0.7448 Epoch 1140/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3725 - acc: 0.8264 - val_loss: 0.5042 - val_acc: 0.7448 Epoch 1141/1500 576/576 [==============================] - 0s 130us/step - loss: 0.3725 - acc: 0.8281 - val_loss: 0.5043 - val_acc: 0.7448 Epoch 1142/1500 576/576 [==============================] - 0s 141us/step - loss: 0.3723 - acc: 0.8281 - val_loss: 0.5043 - val_acc: 0.7448 Epoch 1143/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3723 - acc: 0.8281 - val_loss: 0.5044 - val_acc: 0.7500 Epoch 1144/1500 576/576 [==============================] - 0s 134us/step - loss: 0.3722 - acc: 0.8281 - val_loss: 0.5044 - val_acc: 0.7500 Epoch 1145/1500 576/576 [==============================] - 0s 139us/step - loss: 0.3722 - acc: 0.8281 - val_loss: 0.5044 - val_acc: 0.7448 Epoch 1146/1500 576/576 [==============================] - 0s 141us/step - loss: 0.3721 - acc: 0.8281 - val_loss: 0.5044 - val_acc: 0.7448 Epoch 1147/1500 576/576 [==============================] - 0s 146us/step - loss: 0.3720 - acc: 0.8281 - val_loss: 0.5045 - val_acc: 0.7448 Epoch 1148/1500 576/576 [==============================] - 0s 135us/step - loss: 0.3719 - acc: 0.8281 - val_loss: 0.5045 - val_acc: 0.7448 Epoch 1149/1500 576/576 [==============================] - 0s 120us/step - loss: 0.3719 - acc: 0.8281 - val_loss: 0.5045 - val_acc: 0.7448 Epoch 1150/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3718 - acc: 0.8281 - val_loss: 0.5046 - val_acc: 0.7448 Epoch 1151/1500 576/576 [==============================] - 0s 132us/step - loss: 0.3717 - acc: 0.8281 - val_loss: 0.5046 - val_acc: 0.7448 Epoch 1152/1500 576/576 [==============================] - 0s 132us/step - loss: 0.3718 - acc: 0.8281 - val_loss: 0.5046 - val_acc: 0.7448 Epoch 1153/1500 576/576 [==============================] - 0s 137us/step - loss: 0.3717 - acc: 0.8281 - val_loss: 0.5046 - val_acc: 0.7448 Epoch 1154/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3716 - acc: 0.8281 - val_loss: 0.5046 - val_acc: 0.7448 Epoch 1155/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3715 - acc: 0.8299 - val_loss: 0.5047 - val_acc: 0.7448 Epoch 1156/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3715 - acc: 0.8316 - val_loss: 0.5047 - val_acc: 0.7448 Epoch 1157/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3714 - acc: 0.8281 - val_loss: 0.5047 - val_acc: 0.7448 Epoch 1158/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3713 - acc: 0.8316 - val_loss: 0.5048 - val_acc: 0.7448 Epoch 1159/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3713 - acc: 0.8316 - val_loss: 0.5048 - val_acc: 0.7448 Epoch 1160/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3712 - acc: 0.8316 - val_loss: 0.5049 - val_acc: 0.7448 Epoch 1161/1500 576/576 [==============================] - 0s 132us/step - loss: 0.3711 - acc: 0.8316 - val_loss: 0.5049 - val_acc: 0.7448 Epoch 1162/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3711 - acc: 0.8316 - val_loss: 0.5049 - val_acc: 0.7448 Epoch 1163/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3710 - acc: 0.8316 - val_loss: 0.5050 - val_acc: 0.7448 Epoch 1164/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3710 - acc: 0.8316 - val_loss: 0.5050 - val_acc: 0.7448 Epoch 1165/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3709 - acc: 0.8316 - val_loss: 0.5050 - val_acc: 0.7448 Epoch 1166/1500 576/576 [==============================] - 0s 123us/step - loss: 0.3708 - acc: 0.8316 - val_loss: 0.5050 - val_acc: 0.7448 Epoch 1167/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3708 - acc: 0.8316 - val_loss: 0.5050 - val_acc: 0.7448 Epoch 1168/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3708 - acc: 0.8316 - val_loss: 0.5051 - val_acc: 0.7448 Epoch 1169/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3707 - acc: 0.8316 - val_loss: 0.5051 - val_acc: 0.7448 Epoch 1170/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3705 - acc: 0.8316 - val_loss: 0.5052 - val_acc: 0.7448 Epoch 1171/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3705 - acc: 0.8316 - val_loss: 0.5052 - val_acc: 0.7448 Epoch 1172/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3705 - acc: 0.8316 - val_loss: 0.5052 - val_acc: 0.7448 Epoch 1173/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3704 - acc: 0.8316 - val_loss: 0.5052 - val_acc: 0.7448 Epoch 1174/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3703 - acc: 0.8316 - val_loss: 0.5053 - val_acc: 0.7448 Epoch 1175/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3702 - acc: 0.8316 - val_loss: 0.5053 - val_acc: 0.7448 Epoch 1176/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3702 - acc: 0.8316 - val_loss: 0.5053 - val_acc: 0.7448 Epoch 1177/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3702 - acc: 0.8316 - val_loss: 0.5053 - val_acc: 0.7448 Epoch 1178/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3701 - acc: 0.8316 - val_loss: 0.5054 - val_acc: 0.7448 Epoch 1179/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3700 - acc: 0.8316 - val_loss: 0.5054 - val_acc: 0.7448 Epoch 1180/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3699 - acc: 0.8316 - val_loss: 0.5054 - val_acc: 0.7448 Epoch 1181/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3699 - acc: 0.8316 - val_loss: 0.5055 - val_acc: 0.7448 Epoch 1182/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3698 - acc: 0.8316 - val_loss: 0.5054 - val_acc: 0.7448 Epoch 1183/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3697 - acc: 0.8333 - val_loss: 0.5055 - val_acc: 0.7448 Epoch 1184/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3697 - acc: 0.8316 - val_loss: 0.5055 - val_acc: 0.7448 Epoch 1185/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3696 - acc: 0.8316 - val_loss: 0.5056 - val_acc: 0.7448 Epoch 1186/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3695 - acc: 0.8316 - val_loss: 0.5056 - val_acc: 0.7448 Epoch 1187/1500 576/576 [==============================] - 0s 120us/step - loss: 0.3696 - acc: 0.8316 - val_loss: 0.5056 - val_acc: 0.7448 Epoch 1188/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3695 - acc: 0.8316 - val_loss: 0.5057 - val_acc: 0.7448 Epoch 1189/1500 576/576 [==============================] - 0s 123us/step - loss: 0.3693 - acc: 0.8333 - val_loss: 0.5057 - val_acc: 0.7448 Epoch 1190/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3693 - acc: 0.8333 - val_loss: 0.5057 - val_acc: 0.7448 Epoch 1191/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3692 - acc: 0.8333 - val_loss: 0.5057 - val_acc: 0.7448 Epoch 1192/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3691 - acc: 0.8316 - val_loss: 0.5057 - val_acc: 0.7448 Epoch 1193/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3690 - acc: 0.8333 - val_loss: 0.5058 - val_acc: 0.7448 Epoch 1194/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3690 - acc: 0.8333 - val_loss: 0.5058 - val_acc: 0.7448 Epoch 1195/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3690 - acc: 0.8333 - val_loss: 0.5058 - val_acc: 0.7448 Epoch 1196/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3690 - acc: 0.8333 - val_loss: 0.5059 - val_acc: 0.7448 Epoch 1197/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3688 - acc: 0.8333 - val_loss: 0.5058 - val_acc: 0.7448 Epoch 1198/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3688 - acc: 0.8333 - val_loss: 0.5059 - val_acc: 0.7448 Epoch 1199/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3688 - acc: 0.8333 - val_loss: 0.5060 - val_acc: 0.7448 Epoch 1200/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3686 - acc: 0.8333 - val_loss: 0.5060 - val_acc: 0.7448 Epoch 1201/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3686 - acc: 0.8333 - val_loss: 0.5060 - val_acc: 0.7448 Epoch 1202/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3686 - acc: 0.8333 - val_loss: 0.5061 - val_acc: 0.7448 Epoch 1203/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3684 - acc: 0.8333 - val_loss: 0.5061 - val_acc: 0.7448 Epoch 1204/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3685 - acc: 0.8333 - val_loss: 0.5062 - val_acc: 0.7448 Epoch 1205/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3683 - acc: 0.8333 - val_loss: 0.5061 - val_acc: 0.7448 Epoch 1206/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3683 - acc: 0.8333 - val_loss: 0.5062 - val_acc: 0.7448 Epoch 1207/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3682 - acc: 0.8333 - val_loss: 0.5062 - val_acc: 0.7448 Epoch 1208/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3681 - acc: 0.8333 - val_loss: 0.5062 - val_acc: 0.7448 Epoch 1209/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3681 - acc: 0.8333 - val_loss: 0.5062 - val_acc: 0.7448 Epoch 1210/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3680 - acc: 0.8333 - val_loss: 0.5062 - val_acc: 0.7448 Epoch 1211/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3680 - acc: 0.8333 - val_loss: 0.5063 - val_acc: 0.7448 Epoch 1212/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3679 - acc: 0.8333 - val_loss: 0.5063 - val_acc: 0.7448 Epoch 1213/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3678 - acc: 0.8333 - val_loss: 0.5064 - val_acc: 0.7448 Epoch 1214/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3679 - acc: 0.8333 - val_loss: 0.5064 - val_acc: 0.7448 Epoch 1215/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3678 - acc: 0.8333 - val_loss: 0.5064 - val_acc: 0.7448 Epoch 1216/1500 576/576 [==============================] - 0s 120us/step - loss: 0.3677 - acc: 0.8333 - val_loss: 0.5064 - val_acc: 0.7448 Epoch 1217/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3676 - acc: 0.8333 - val_loss: 0.5065 - val_acc: 0.7448 Epoch 1218/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3675 - acc: 0.8333 - val_loss: 0.5065 - val_acc: 0.7448 Epoch 1219/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3675 - acc: 0.8333 - val_loss: 0.5066 - val_acc: 0.7448 Epoch 1220/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3675 - acc: 0.8333 - val_loss: 0.5065 - val_acc: 0.7448 Epoch 1221/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3674 - acc: 0.8333 - val_loss: 0.5066 - val_acc: 0.7448 Epoch 1222/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3673 - acc: 0.8333 - val_loss: 0.5067 - val_acc: 0.7448 Epoch 1223/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3673 - acc: 0.8316 - val_loss: 0.5067 - val_acc: 0.7448 Epoch 1224/1500 576/576 [==============================] - 0s 120us/step - loss: 0.3672 - acc: 0.8333 - val_loss: 0.5067 - val_acc: 0.7448 Epoch 1225/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3671 - acc: 0.8316 - val_loss: 0.5067 - val_acc: 0.7448 Epoch 1226/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3671 - acc: 0.8333 - val_loss: 0.5067 - val_acc: 0.7448 Epoch 1227/1500 576/576 [==============================] - 0s 88us/step - loss: 0.3670 - acc: 0.8333 - val_loss: 0.5067 - val_acc: 0.7448 Epoch 1228/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3670 - acc: 0.8333 - val_loss: 0.5068 - val_acc: 0.7448 Epoch 1229/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3668 - acc: 0.8333 - val_loss: 0.5068 - val_acc: 0.7448 Epoch 1230/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3668 - acc: 0.8333 - val_loss: 0.5069 - val_acc: 0.7448 Epoch 1231/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3668 - acc: 0.8316 - val_loss: 0.5069 - val_acc: 0.7448 Epoch 1232/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3666 - acc: 0.8333 - val_loss: 0.5070 - val_acc: 0.7448 Epoch 1233/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3666 - acc: 0.8316 - val_loss: 0.5070 - val_acc: 0.7448 Epoch 1234/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3665 - acc: 0.8316 - val_loss: 0.5069 - val_acc: 0.7448 Epoch 1235/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3665 - acc: 0.8333 - val_loss: 0.5070 - val_acc: 0.7500 Epoch 1236/1500 576/576 [==============================] - 0s 123us/step - loss: 0.3664 - acc: 0.8316 - val_loss: 0.5071 - val_acc: 0.7500 Epoch 1237/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3664 - acc: 0.8333 - val_loss: 0.5071 - val_acc: 0.7500 Epoch 1238/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3663 - acc: 0.8316 - val_loss: 0.5071 - val_acc: 0.7500 Epoch 1239/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3663 - acc: 0.8316 - val_loss: 0.5071 - val_acc: 0.7500 Epoch 1240/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3662 - acc: 0.8316 - val_loss: 0.5071 - val_acc: 0.7500 Epoch 1241/1500 576/576 [==============================] - 0s 87us/step - loss: 0.3661 - acc: 0.8351 - val_loss: 0.5072 - val_acc: 0.7500 Epoch 1242/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3661 - acc: 0.8333 - val_loss: 0.5072 - val_acc: 0.7500 Epoch 1243/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3660 - acc: 0.8333 - val_loss: 0.5072 - val_acc: 0.7500 Epoch 1244/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3660 - acc: 0.8333 - val_loss: 0.5072 - val_acc: 0.7500 Epoch 1245/1500 576/576 [==============================] - 0s 130us/step - loss: 0.3659 - acc: 0.8351 - val_loss: 0.5073 - val_acc: 0.7500 Epoch 1246/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3659 - acc: 0.8333 - val_loss: 0.5073 - val_acc: 0.7500 Epoch 1247/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3658 - acc: 0.8351 - val_loss: 0.5073 - val_acc: 0.7500 Epoch 1248/1500 576/576 [==============================] - 0s 132us/step - loss: 0.3657 - acc: 0.8333 - val_loss: 0.5073 - val_acc: 0.7500 Epoch 1249/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3657 - acc: 0.8333 - val_loss: 0.5073 - val_acc: 0.7500 Epoch 1250/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3656 - acc: 0.8351 - val_loss: 0.5074 - val_acc: 0.7500 Epoch 1251/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3656 - acc: 0.8333 - val_loss: 0.5074 - val_acc: 0.7500 Epoch 1252/1500 576/576 [==============================] - 0s 151us/step - loss: 0.3654 - acc: 0.8333 - val_loss: 0.5075 - val_acc: 0.7500 Epoch 1253/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3654 - acc: 0.8351 - val_loss: 0.5075 - val_acc: 0.7500 Epoch 1254/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3654 - acc: 0.8333 - val_loss: 0.5076 - val_acc: 0.7500 Epoch 1255/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3653 - acc: 0.8333 - val_loss: 0.5076 - val_acc: 0.7500 Epoch 1256/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3652 - acc: 0.8333 - val_loss: 0.5076 - val_acc: 0.7500 Epoch 1257/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3652 - acc: 0.8333 - val_loss: 0.5077 - val_acc: 0.7500 Epoch 1258/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3652 - acc: 0.8333 - val_loss: 0.5077 - val_acc: 0.7500 Epoch 1259/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3651 - acc: 0.8333 - val_loss: 0.5077 - val_acc: 0.7500 Epoch 1260/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3650 - acc: 0.8333 - val_loss: 0.5078 - val_acc: 0.7500 Epoch 1261/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3650 - acc: 0.8333 - val_loss: 0.5078 - val_acc: 0.7500 Epoch 1262/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3649 - acc: 0.8368 - val_loss: 0.5079 - val_acc: 0.7500 Epoch 1263/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3649 - acc: 0.8333 - val_loss: 0.5078 - val_acc: 0.7500 Epoch 1264/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3648 - acc: 0.8333 - val_loss: 0.5078 - val_acc: 0.7500 Epoch 1265/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3647 - acc: 0.8333 - val_loss: 0.5079 - val_acc: 0.7500 Epoch 1266/1500 576/576 [==============================] - 0s 134us/step - loss: 0.3647 - acc: 0.8333 - val_loss: 0.5079 - val_acc: 0.7500 Epoch 1267/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3646 - acc: 0.8333 - val_loss: 0.5079 - val_acc: 0.7500 Epoch 1268/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3645 - acc: 0.8333 - val_loss: 0.5079 - val_acc: 0.7500 Epoch 1269/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3644 - acc: 0.8333 - val_loss: 0.5080 - val_acc: 0.7500 Epoch 1270/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3644 - acc: 0.8333 - val_loss: 0.5081 - val_acc: 0.7500 Epoch 1271/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3644 - acc: 0.8333 - val_loss: 0.5081 - val_acc: 0.7500 Epoch 1272/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3643 - acc: 0.8333 - val_loss: 0.5082 - val_acc: 0.7500 Epoch 1273/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3642 - acc: 0.8333 - val_loss: 0.5082 - val_acc: 0.7500 Epoch 1274/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3642 - acc: 0.8333 - val_loss: 0.5082 - val_acc: 0.7500 Epoch 1275/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3641 - acc: 0.8333 - val_loss: 0.5083 - val_acc: 0.7500 Epoch 1276/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3641 - acc: 0.8333 - val_loss: 0.5083 - val_acc: 0.7500 Epoch 1277/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3640 - acc: 0.8333 - val_loss: 0.5084 - val_acc: 0.7500 Epoch 1278/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3639 - acc: 0.8333 - val_loss: 0.5084 - val_acc: 0.7500 Epoch 1279/1500 576/576 [==============================] - 0s 87us/step - loss: 0.3639 - acc: 0.8333 - val_loss: 0.5085 - val_acc: 0.7500 Epoch 1280/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3638 - acc: 0.8333 - val_loss: 0.5085 - val_acc: 0.7500 Epoch 1281/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3637 - acc: 0.8333 - val_loss: 0.5086 - val_acc: 0.7500 Epoch 1282/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3638 - acc: 0.8333 - val_loss: 0.5086 - val_acc: 0.7500 Epoch 1283/1500 576/576 [==============================] - 0s 123us/step - loss: 0.3636 - acc: 0.8333 - val_loss: 0.5087 - val_acc: 0.7500 Epoch 1284/1500 576/576 [==============================] - 0s 134us/step - loss: 0.3636 - acc: 0.8333 - val_loss: 0.5087 - val_acc: 0.7448 Epoch 1285/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3635 - acc: 0.8333 - val_loss: 0.5087 - val_acc: 0.7448 Epoch 1286/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3635 - acc: 0.8333 - val_loss: 0.5087 - val_acc: 0.7448 Epoch 1287/1500 576/576 [==============================] - 0s 142us/step - loss: 0.3634 - acc: 0.8333 - val_loss: 0.5087 - val_acc: 0.7448 Epoch 1288/1500 576/576 [==============================] - 0s 139us/step - loss: 0.3634 - acc: 0.8333 - val_loss: 0.5088 - val_acc: 0.7448 Epoch 1289/1500 576/576 [==============================] - ETA: 0s - loss: 0.3834 - acc: 0.819 - 0s 137us/step - loss: 0.3633 - acc: 0.8333 - val_loss: 0.5088 - val_acc: 0.7448 Epoch 1290/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3633 - acc: 0.8333 - val_loss: 0.5088 - val_acc: 0.7448 Epoch 1291/1500 576/576 [==============================] - 0s 121us/step - loss: 0.3632 - acc: 0.8333 - val_loss: 0.5088 - val_acc: 0.7448 Epoch 1292/1500 576/576 [==============================] - 0s 121us/step - loss: 0.3631 - acc: 0.8333 - val_loss: 0.5089 - val_acc: 0.7448 Epoch 1293/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3631 - acc: 0.8333 - val_loss: 0.5089 - val_acc: 0.7448 Epoch 1294/1500 576/576 [==============================] - 0s 144us/step - loss: 0.3629 - acc: 0.8333 - val_loss: 0.5088 - val_acc: 0.7448 Epoch 1295/1500 576/576 [==============================] - 0s 121us/step - loss: 0.3629 - acc: 0.8333 - val_loss: 0.5089 - val_acc: 0.7448 Epoch 1296/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3629 - acc: 0.8333 - val_loss: 0.5090 - val_acc: 0.7448 Epoch 1297/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3628 - acc: 0.8333 - val_loss: 0.5090 - val_acc: 0.7448 Epoch 1298/1500 576/576 [==============================] - 0s 87us/step - loss: 0.3628 - acc: 0.8333 - val_loss: 0.5091 - val_acc: 0.7448 Epoch 1299/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3626 - acc: 0.8333 - val_loss: 0.5092 - val_acc: 0.7448 Epoch 1300/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3627 - acc: 0.8333 - val_loss: 0.5091 - val_acc: 0.7448 Epoch 1301/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3626 - acc: 0.8333 - val_loss: 0.5092 - val_acc: 0.7448 Epoch 1302/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3626 - acc: 0.8333 - val_loss: 0.5093 - val_acc: 0.7448 Epoch 1303/1500 576/576 [==============================] - 0s 130us/step - loss: 0.3624 - acc: 0.8333 - val_loss: 0.5092 - val_acc: 0.7500 Epoch 1304/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3623 - acc: 0.8333 - val_loss: 0.5093 - val_acc: 0.7500 Epoch 1305/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3623 - acc: 0.8333 - val_loss: 0.5094 - val_acc: 0.7500 Epoch 1306/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3622 - acc: 0.8333 - val_loss: 0.5094 - val_acc: 0.7500 Epoch 1307/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3621 - acc: 0.8333 - val_loss: 0.5094 - val_acc: 0.7500 Epoch 1308/1500 576/576 [==============================] - 0s 137us/step - loss: 0.3621 - acc: 0.8333 - val_loss: 0.5095 - val_acc: 0.7500 Epoch 1309/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3621 - acc: 0.8333 - val_loss: 0.5095 - val_acc: 0.7500 Epoch 1310/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3620 - acc: 0.8333 - val_loss: 0.5096 - val_acc: 0.7500 Epoch 1311/1500 576/576 [==============================] - 0s 132us/step - loss: 0.3619 - acc: 0.8333 - val_loss: 0.5096 - val_acc: 0.7500 Epoch 1312/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3619 - acc: 0.8333 - val_loss: 0.5096 - val_acc: 0.7500 Epoch 1313/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3618 - acc: 0.8333 - val_loss: 0.5096 - val_acc: 0.7500 Epoch 1314/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3618 - acc: 0.8333 - val_loss: 0.5097 - val_acc: 0.7500 Epoch 1315/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3617 - acc: 0.8333 - val_loss: 0.5097 - val_acc: 0.7500 Epoch 1316/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3616 - acc: 0.8333 - val_loss: 0.5097 - val_acc: 0.7500 Epoch 1317/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3616 - acc: 0.8351 - val_loss: 0.5098 - val_acc: 0.7500 Epoch 1318/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3615 - acc: 0.8333 - val_loss: 0.5099 - val_acc: 0.7500 Epoch 1319/1500 576/576 [==============================] - 0s 160us/step - loss: 0.3615 - acc: 0.8333 - val_loss: 0.5098 - val_acc: 0.7500 Epoch 1320/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3613 - acc: 0.8333 - val_loss: 0.5099 - val_acc: 0.7500 Epoch 1321/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3613 - acc: 0.8333 - val_loss: 0.5099 - val_acc: 0.7500 Epoch 1322/1500 576/576 [==============================] - 0s 137us/step - loss: 0.3613 - acc: 0.8333 - val_loss: 0.5098 - val_acc: 0.7500 Epoch 1323/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3612 - acc: 0.8333 - val_loss: 0.5099 - val_acc: 0.7500 Epoch 1324/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3612 - acc: 0.8351 - val_loss: 0.5100 - val_acc: 0.7500 Epoch 1325/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3611 - acc: 0.8333 - val_loss: 0.5099 - val_acc: 0.7500 Epoch 1326/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3611 - acc: 0.8351 - val_loss: 0.5100 - val_acc: 0.7500 Epoch 1327/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3609 - acc: 0.8333 - val_loss: 0.5100 - val_acc: 0.7500 Epoch 1328/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3609 - acc: 0.8333 - val_loss: 0.5100 - val_acc: 0.7500 Epoch 1329/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3609 - acc: 0.8333 - val_loss: 0.5101 - val_acc: 0.7500 Epoch 1330/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3607 - acc: 0.8333 - val_loss: 0.5102 - val_acc: 0.7500 Epoch 1331/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3607 - acc: 0.8351 - val_loss: 0.5103 - val_acc: 0.7500 Epoch 1332/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3608 - acc: 0.8333 - val_loss: 0.5103 - val_acc: 0.7500 Epoch 1333/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3607 - acc: 0.8333 - val_loss: 0.5102 - val_acc: 0.7500 Epoch 1334/1500 576/576 [==============================] - 0s 88us/step - loss: 0.3606 - acc: 0.8333 - val_loss: 0.5102 - val_acc: 0.7500 Epoch 1335/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3605 - acc: 0.8333 - val_loss: 0.5102 - val_acc: 0.7500 Epoch 1336/1500 576/576 [==============================] - 0s 253us/step - loss: 0.3604 - acc: 0.8351 - val_loss: 0.5103 - val_acc: 0.7500 Epoch 1337/1500 576/576 [==============================] - 0s 168us/step - loss: 0.3604 - acc: 0.8351 - val_loss: 0.5103 - val_acc: 0.7500 Epoch 1338/1500 576/576 [==============================] - 0s 137us/step - loss: 0.3603 - acc: 0.8368 - val_loss: 0.5104 - val_acc: 0.7500 Epoch 1339/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3602 - acc: 0.8333 - val_loss: 0.5104 - val_acc: 0.7500 Epoch 1340/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3601 - acc: 0.8333 - val_loss: 0.5105 - val_acc: 0.7500 Epoch 1341/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3601 - acc: 0.8351 - val_loss: 0.5105 - val_acc: 0.7500 Epoch 1342/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3601 - acc: 0.8351 - val_loss: 0.5105 - val_acc: 0.7500 Epoch 1343/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3600 - acc: 0.8333 - val_loss: 0.5106 - val_acc: 0.7500 Epoch 1344/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3599 - acc: 0.8351 - val_loss: 0.5107 - val_acc: 0.7500 Epoch 1345/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3599 - acc: 0.8333 - val_loss: 0.5106 - val_acc: 0.7500 Epoch 1346/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3598 - acc: 0.8351 - val_loss: 0.5107 - val_acc: 0.7500 Epoch 1347/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3598 - acc: 0.8351 - val_loss: 0.5107 - val_acc: 0.7500 Epoch 1348/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3596 - acc: 0.8333 - val_loss: 0.5107 - val_acc: 0.7500 Epoch 1349/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3595 - acc: 0.8351 - val_loss: 0.5107 - val_acc: 0.7500 Epoch 1350/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3595 - acc: 0.8351 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 1351/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3595 - acc: 0.8351 - val_loss: 0.5108 - val_acc: 0.7500 Epoch 1352/1500 576/576 [==============================] - 0s 88us/step - loss: 0.3594 - acc: 0.8333 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 1353/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3593 - acc: 0.8351 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 1354/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3593 - acc: 0.8333 - val_loss: 0.5109 - val_acc: 0.7500 Epoch 1355/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3592 - acc: 0.8333 - val_loss: 0.5110 - val_acc: 0.7552 Epoch 1356/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3591 - acc: 0.8351 - val_loss: 0.5110 - val_acc: 0.7552 Epoch 1357/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3592 - acc: 0.8368 - val_loss: 0.5111 - val_acc: 0.7552 Epoch 1358/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3591 - acc: 0.8351 - val_loss: 0.5111 - val_acc: 0.7552 Epoch 1359/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3590 - acc: 0.8333 - val_loss: 0.5110 - val_acc: 0.7552 Epoch 1360/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3590 - acc: 0.8351 - val_loss: 0.5111 - val_acc: 0.7552 Epoch 1361/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3588 - acc: 0.8333 - val_loss: 0.5111 - val_acc: 0.7552 Epoch 1362/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3588 - acc: 0.8351 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 1363/1500 576/576 [==============================] - 0s 123us/step - loss: 0.3587 - acc: 0.8351 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 1364/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3586 - acc: 0.8351 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 1365/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3586 - acc: 0.8351 - val_loss: 0.5112 - val_acc: 0.7552 Epoch 1366/1500 576/576 [==============================] - 0s 128us/step - loss: 0.3585 - acc: 0.8351 - val_loss: 0.5113 - val_acc: 0.7552 Epoch 1367/1500 576/576 [==============================] - 0s 134us/step - loss: 0.3585 - acc: 0.8351 - val_loss: 0.5114 - val_acc: 0.7552 Epoch 1368/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3584 - acc: 0.8333 - val_loss: 0.5114 - val_acc: 0.7552 Epoch 1369/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3584 - acc: 0.8351 - val_loss: 0.5114 - val_acc: 0.7552 Epoch 1370/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3582 - acc: 0.8351 - val_loss: 0.5114 - val_acc: 0.7552 Epoch 1371/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3582 - acc: 0.8351 - val_loss: 0.5115 - val_acc: 0.7552 Epoch 1372/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3581 - acc: 0.8351 - val_loss: 0.5114 - val_acc: 0.7552 Epoch 1373/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3580 - acc: 0.8368 - val_loss: 0.5115 - val_acc: 0.7552 Epoch 1374/1500 576/576 [==============================] - 0s 135us/step - loss: 0.3580 - acc: 0.8333 - val_loss: 0.5115 - val_acc: 0.7552 Epoch 1375/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3580 - acc: 0.8333 - val_loss: 0.5115 - val_acc: 0.7552 Epoch 1376/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3579 - acc: 0.8333 - val_loss: 0.5116 - val_acc: 0.7552 Epoch 1377/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3577 - acc: 0.8351 - val_loss: 0.5116 - val_acc: 0.7552 Epoch 1378/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3577 - acc: 0.8351 - val_loss: 0.5116 - val_acc: 0.7552 Epoch 1379/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3577 - acc: 0.8368 - val_loss: 0.5118 - val_acc: 0.7552 Epoch 1380/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3576 - acc: 0.8351 - val_loss: 0.5118 - val_acc: 0.7552 Epoch 1381/1500 576/576 [==============================] - 0s 121us/step - loss: 0.3575 - acc: 0.8351 - val_loss: 0.5119 - val_acc: 0.7552 Epoch 1382/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3574 - acc: 0.8351 - val_loss: 0.5119 - val_acc: 0.7552 Epoch 1383/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3575 - acc: 0.8333 - val_loss: 0.5119 - val_acc: 0.7552 Epoch 1384/1500 576/576 [==============================] - 0s 121us/step - loss: 0.3573 - acc: 0.8351 - val_loss: 0.5119 - val_acc: 0.7552 Epoch 1385/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3573 - acc: 0.8368 - val_loss: 0.5120 - val_acc: 0.7552 Epoch 1386/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3571 - acc: 0.8385 - val_loss: 0.5121 - val_acc: 0.7552 Epoch 1387/1500 576/576 [==============================] - 0s 134us/step - loss: 0.3571 - acc: 0.8351 - val_loss: 0.5121 - val_acc: 0.7552 Epoch 1388/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3571 - acc: 0.8368 - val_loss: 0.5121 - val_acc: 0.7552 Epoch 1389/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3570 - acc: 0.8385 - val_loss: 0.5123 - val_acc: 0.7552 Epoch 1390/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3569 - acc: 0.8351 - val_loss: 0.5123 - val_acc: 0.7552 Epoch 1391/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3569 - acc: 0.8368 - val_loss: 0.5123 - val_acc: 0.7552 Epoch 1392/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3568 - acc: 0.8368 - val_loss: 0.5123 - val_acc: 0.7552 Epoch 1393/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3568 - acc: 0.8368 - val_loss: 0.5123 - val_acc: 0.7552 Epoch 1394/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3567 - acc: 0.8385 - val_loss: 0.5125 - val_acc: 0.7552 Epoch 1395/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3566 - acc: 0.8385 - val_loss: 0.5125 - val_acc: 0.7552 Epoch 1396/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3566 - acc: 0.8351 - val_loss: 0.5125 - val_acc: 0.7552 Epoch 1397/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3565 - acc: 0.8351 - val_loss: 0.5125 - val_acc: 0.7552 Epoch 1398/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3565 - acc: 0.8368 - val_loss: 0.5125 - val_acc: 0.7552 Epoch 1399/1500 576/576 [==============================] - 0s 123us/step - loss: 0.3563 - acc: 0.8368 - val_loss: 0.5126 - val_acc: 0.7552 Epoch 1400/1500 576/576 [==============================] - 0s 120us/step - loss: 0.3563 - acc: 0.8368 - val_loss: 0.5126 - val_acc: 0.7552 Epoch 1401/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3562 - acc: 0.8368 - val_loss: 0.5127 - val_acc: 0.7552 Epoch 1402/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3562 - acc: 0.8368 - val_loss: 0.5127 - val_acc: 0.7552 Epoch 1403/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3561 - acc: 0.8368 - val_loss: 0.5128 - val_acc: 0.7552 Epoch 1404/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3561 - acc: 0.8368 - val_loss: 0.5128 - val_acc: 0.7552 Epoch 1405/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3560 - acc: 0.8368 - val_loss: 0.5128 - val_acc: 0.7552 Epoch 1406/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3559 - acc: 0.8385 - val_loss: 0.5129 - val_acc: 0.7552 Epoch 1407/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3558 - acc: 0.8368 - val_loss: 0.5130 - val_acc: 0.7552 Epoch 1408/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3559 - acc: 0.8368 - val_loss: 0.5131 - val_acc: 0.7552 Epoch 1409/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3557 - acc: 0.8368 - val_loss: 0.5132 - val_acc: 0.7552 Epoch 1410/1500 576/576 [==============================] - 0s 121us/step - loss: 0.3557 - acc: 0.8368 - val_loss: 0.5133 - val_acc: 0.7552 Epoch 1411/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3556 - acc: 0.8368 - val_loss: 0.5133 - val_acc: 0.7552 Epoch 1412/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3555 - acc: 0.8368 - val_loss: 0.5133 - val_acc: 0.7552 Epoch 1413/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3555 - acc: 0.8368 - val_loss: 0.5133 - val_acc: 0.7552 Epoch 1414/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3554 - acc: 0.8368 - val_loss: 0.5133 - val_acc: 0.7552 Epoch 1415/1500 576/576 [==============================] - 0s 141us/step - loss: 0.3554 - acc: 0.8368 - val_loss: 0.5133 - val_acc: 0.7552 Epoch 1416/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3552 - acc: 0.8368 - val_loss: 0.5133 - val_acc: 0.7552 Epoch 1417/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3552 - acc: 0.8368 - val_loss: 0.5135 - val_acc: 0.7552 Epoch 1418/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3551 - acc: 0.8368 - val_loss: 0.5135 - val_acc: 0.7552 Epoch 1419/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3551 - acc: 0.8368 - val_loss: 0.5135 - val_acc: 0.7552 Epoch 1420/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3550 - acc: 0.8368 - val_loss: 0.5135 - val_acc: 0.7552 Epoch 1421/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3550 - acc: 0.8368 - val_loss: 0.5136 - val_acc: 0.7552 Epoch 1422/1500 576/576 [==============================] - 0s 156us/step - loss: 0.3549 - acc: 0.8368 - val_loss: 0.5136 - val_acc: 0.7552 Epoch 1423/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3548 - acc: 0.8368 - val_loss: 0.5137 - val_acc: 0.7552 Epoch 1424/1500 576/576 [==============================] - 0s 130us/step - loss: 0.3547 - acc: 0.8385 - val_loss: 0.5137 - val_acc: 0.7552 Epoch 1425/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3547 - acc: 0.8368 - val_loss: 0.5138 - val_acc: 0.7552 Epoch 1426/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3546 - acc: 0.8368 - val_loss: 0.5138 - val_acc: 0.7552 Epoch 1427/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3546 - acc: 0.8368 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 1428/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3545 - acc: 0.8385 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 1429/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3544 - acc: 0.8385 - val_loss: 0.5139 - val_acc: 0.7552 Epoch 1430/1500 576/576 [==============================] - 0s 135us/step - loss: 0.3544 - acc: 0.8368 - val_loss: 0.5140 - val_acc: 0.7552 Epoch 1431/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3544 - acc: 0.8368 - val_loss: 0.5141 - val_acc: 0.7552 Epoch 1432/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3542 - acc: 0.8403 - val_loss: 0.5142 - val_acc: 0.7552 Epoch 1433/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3542 - acc: 0.8385 - val_loss: 0.5141 - val_acc: 0.7552 Epoch 1434/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3542 - acc: 0.8385 - val_loss: 0.5141 - val_acc: 0.7552 Epoch 1435/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3540 - acc: 0.8368 - val_loss: 0.5141 - val_acc: 0.7552 Epoch 1436/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3540 - acc: 0.8368 - val_loss: 0.5142 - val_acc: 0.7552 Epoch 1437/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3539 - acc: 0.8385 - val_loss: 0.5143 - val_acc: 0.7552 Epoch 1438/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3539 - acc: 0.8385 - val_loss: 0.5144 - val_acc: 0.7552 Epoch 1439/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3538 - acc: 0.8368 - val_loss: 0.5144 - val_acc: 0.7552 Epoch 1440/1500 576/576 [==============================] - 0s 125us/step - loss: 0.3538 - acc: 0.8385 - val_loss: 0.5145 - val_acc: 0.7552 Epoch 1441/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3538 - acc: 0.8385 - val_loss: 0.5146 - val_acc: 0.7552 Epoch 1442/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3535 - acc: 0.8403 - val_loss: 0.5146 - val_acc: 0.7552 Epoch 1443/1500 576/576 [==============================] - 0s 118us/step - loss: 0.3536 - acc: 0.8385 - val_loss: 0.5147 - val_acc: 0.7552 Epoch 1444/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3534 - acc: 0.8385 - val_loss: 0.5147 - val_acc: 0.7552 Epoch 1445/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3534 - acc: 0.8385 - val_loss: 0.5148 - val_acc: 0.7552 Epoch 1446/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3534 - acc: 0.8385 - val_loss: 0.5148 - val_acc: 0.7552 Epoch 1447/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3533 - acc: 0.8403 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1448/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3533 - acc: 0.8403 - val_loss: 0.5149 - val_acc: 0.7552 Epoch 1449/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3532 - acc: 0.8385 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1450/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3532 - acc: 0.8385 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1451/1500 576/576 [==============================] - 0s 87us/step - loss: 0.3530 - acc: 0.8385 - val_loss: 0.5150 - val_acc: 0.7552 Epoch 1452/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3530 - acc: 0.8403 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1453/1500 576/576 [==============================] - 0s 102us/step - loss: 0.3529 - acc: 0.8403 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1454/1500 576/576 [==============================] - 0s 142us/step - loss: 0.3528 - acc: 0.8385 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1455/1500 576/576 [==============================] - 0s 94us/step - loss: 0.3528 - acc: 0.8385 - val_loss: 0.5151 - val_acc: 0.7552 Epoch 1456/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3527 - acc: 0.8385 - val_loss: 0.5152 - val_acc: 0.7552 Epoch 1457/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3527 - acc: 0.8403 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1458/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3525 - acc: 0.8403 - val_loss: 0.5154 - val_acc: 0.7552 Epoch 1459/1500 576/576 [==============================] - 0s 109us/step - loss: 0.3526 - acc: 0.8385 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1460/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3524 - acc: 0.8403 - val_loss: 0.5153 - val_acc: 0.7552 Epoch 1461/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3524 - acc: 0.8420 - val_loss: 0.5155 - val_acc: 0.7552 Epoch 1462/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3525 - acc: 0.8403 - val_loss: 0.5154 - val_acc: 0.7552 Epoch 1463/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3522 - acc: 0.8403 - val_loss: 0.5155 - val_acc: 0.7552 Epoch 1464/1500 576/576 [==============================] - 0s 90us/step - loss: 0.3522 - acc: 0.8403 - val_loss: 0.5156 - val_acc: 0.7552 Epoch 1465/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3521 - acc: 0.8403 - val_loss: 0.5156 - val_acc: 0.7552 Epoch 1466/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3521 - acc: 0.8403 - val_loss: 0.5156 - val_acc: 0.7552 Epoch 1467/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3520 - acc: 0.8403 - val_loss: 0.5157 - val_acc: 0.7552 Epoch 1468/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3519 - acc: 0.8403 - val_loss: 0.5157 - val_acc: 0.7552 Epoch 1469/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3519 - acc: 0.8403 - val_loss: 0.5158 - val_acc: 0.7552 Epoch 1470/1500 576/576 [==============================] - 0s 120us/step - loss: 0.3518 - acc: 0.8403 - val_loss: 0.5158 - val_acc: 0.7552 Epoch 1471/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3518 - acc: 0.8403 - val_loss: 0.5158 - val_acc: 0.7552 Epoch 1472/1500 576/576 [==============================] - 0s 88us/step - loss: 0.3518 - acc: 0.8403 - val_loss: 0.5159 - val_acc: 0.7552 Epoch 1473/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3516 - acc: 0.8420 - val_loss: 0.5160 - val_acc: 0.7552 Epoch 1474/1500 576/576 [==============================] - 0s 127us/step - loss: 0.3515 - acc: 0.8403 - val_loss: 0.5160 - val_acc: 0.7552 Epoch 1475/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3516 - acc: 0.8403 - val_loss: 0.5161 - val_acc: 0.7552 Epoch 1476/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3514 - acc: 0.8403 - val_loss: 0.5161 - val_acc: 0.7552 Epoch 1477/1500 576/576 [==============================] - 0s 92us/step - loss: 0.3514 - acc: 0.8403 - val_loss: 0.5162 - val_acc: 0.7552 Epoch 1478/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3513 - acc: 0.8403 - val_loss: 0.5162 - val_acc: 0.7552 Epoch 1479/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3512 - acc: 0.8403 - val_loss: 0.5162 - val_acc: 0.7604 Epoch 1480/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3513 - acc: 0.8403 - val_loss: 0.5163 - val_acc: 0.7604 Epoch 1481/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3511 - acc: 0.8403 - val_loss: 0.5163 - val_acc: 0.7604 Epoch 1482/1500 576/576 [==============================] - 0s 95us/step - loss: 0.3510 - acc: 0.8403 - val_loss: 0.5163 - val_acc: 0.7552 Epoch 1483/1500 576/576 [==============================] - 0s 97us/step - loss: 0.3510 - acc: 0.8403 - val_loss: 0.5164 - val_acc: 0.7604 Epoch 1484/1500 576/576 [==============================] - 0s 99us/step - loss: 0.3511 - acc: 0.8403 - val_loss: 0.5165 - val_acc: 0.7604 Epoch 1485/1500 576/576 [==============================] - 0s 101us/step - loss: 0.3509 - acc: 0.8403 - val_loss: 0.5165 - val_acc: 0.7604 Epoch 1486/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3509 - acc: 0.8403 - val_loss: 0.5165 - val_acc: 0.7604 Epoch 1487/1500 576/576 [==============================] - 0s 111us/step - loss: 0.3508 - acc: 0.8403 - val_loss: 0.5166 - val_acc: 0.7552 Epoch 1488/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3507 - acc: 0.8403 - val_loss: 0.5167 - val_acc: 0.7552 Epoch 1489/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3506 - acc: 0.8403 - val_loss: 0.5168 - val_acc: 0.7604 Epoch 1490/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3506 - acc: 0.8403 - val_loss: 0.5166 - val_acc: 0.7604 Epoch 1491/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3505 - acc: 0.8403 - val_loss: 0.5168 - val_acc: 0.7604 Epoch 1492/1500 576/576 [==============================] - 0s 130us/step - loss: 0.3505 - acc: 0.8403 - val_loss: 0.5168 - val_acc: 0.7604 Epoch 1493/1500 576/576 [==============================] - 0s 116us/step - loss: 0.3505 - acc: 0.8420 - val_loss: 0.5169 - val_acc: 0.7604 Epoch 1494/1500 576/576 [==============================] - 0s 132us/step - loss: 0.3503 - acc: 0.8403 - val_loss: 0.5171 - val_acc: 0.7604 Epoch 1495/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3504 - acc: 0.8420 - val_loss: 0.5171 - val_acc: 0.7604 Epoch 1496/1500 576/576 [==============================] - 0s 108us/step - loss: 0.3502 - acc: 0.8403 - val_loss: 0.5172 - val_acc: 0.7604 Epoch 1497/1500 576/576 [==============================] - 0s 115us/step - loss: 0.3502 - acc: 0.8403 - val_loss: 0.5171 - val_acc: 0.7604 Epoch 1498/1500 576/576 [==============================] - 0s 106us/step - loss: 0.3501 - acc: 0.8403 - val_loss: 0.5172 - val_acc: 0.7604 Epoch 1499/1500 576/576 [==============================] - 0s 113us/step - loss: 0.3500 - acc: 0.8403 - val_loss: 0.5172 - val_acc: 0.7604 Epoch 1500/1500 576/576 [==============================] - 0s 104us/step - loss: 0.3500 - acc: 0.8420 - val_loss: 0.5173 - val_acc: 0.7604 accuracy is 0.760 roc-auc is 0.820
we can even go futher and get more better results...¶
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the numbers are promissing. Feel free to go wild.
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