TensorFlow教程
深度残差网络+自适应参数化ReLU激活函数（调参记录11）
本文主要是介绍深度残差网络+自适应参数化ReLU激活函数（调参记录11），对大家解决编程问题具有一定的参考价值，需要的程序猿们随着小编来一起学习吧！
本文在调参记录10的基础上，将残差模块的数量从27个增加到60个，测试采用Adaptively Parametric ReLU（APReLU）激活函数的深度残差网络，在Cifar10图像集上的效果。
Keras程序如下：
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 14 04:17:45 2020
Implemented using TensorFlow 1.0.1 and Keras 2.2.1
Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Shaojiang Dong, Michael Pecht,
Deep Residual Networks with Adaptively Parametric Rectifier Linear Units for Fault Diagnosis,
IEEE Transactions on Industrial Electronics, 2020, DOI: 10.1109/TIE.2020.2972458
@author: Minghang Zhao
"""
from __future__ import print_function
import keras
import numpy as np
from keras.datasets import cifar10
from keras.layers import Dense, Conv2D, BatchNormalization, Activation, Minimum
from keras.layers import AveragePooling2D, Input, GlobalAveragePooling2D, Concatenate, Reshape
from keras.regularizers import l2
from keras import backend as K
from keras.models import Model
from keras import optimizers
from keras.preprocessing.image import ImageDataGenerator
from keras.callbacks import LearningRateScheduler
K.set_learning_phase(1)
# The data, split between train and test sets
(x_train, y_train), (x_test, y_test) = cifar10.load_data()
# Noised data
x_train = x_train.astype('float32') / 255.
x_test = x_test.astype('float32') / 255.
x_test = x_test-np.mean(x_train)
x_train = x_train-np.mean(x_train)
print('x_train shape:', x_train.shape)
print(x_train.shape[0], 'train samples')
print(x_test.shape[0], 'test samples')
# convert class vectors to binary class matrices
y_train = keras.utils.to_categorical(y_train, 10)
y_test = keras.utils.to_categorical(y_test, 10)
# Schedule the learning rate, multiply 0.1 every 300 epoches
def scheduler(epoch):
if epoch % 300 == 0 and epoch != 0:
lr = K.get_value(model.optimizer.lr)
K.set_value(model.optimizer.lr, lr * 0.1)
print("lr changed to {}".format(lr * 0.1))
return K.get_value(model.optimizer.lr)
# An adaptively parametric rectifier linear unit (APReLU)
def aprelu(inputs):
# get the number of channels
channels = inputs.get_shape().as_list()[-1]
# get a zero feature map
zeros_input = keras.layers.subtract([inputs, inputs])
# get a feature map with only positive features
pos_input = Activation('relu')(inputs)
# get a feature map with only negative features
neg_input = Minimum()([inputs,zeros_input])
# define a network to obtain the scaling coefficients
scales_p = GlobalAveragePooling2D()(pos_input)
scales_n = GlobalAveragePooling2D()(neg_input)
scales = Concatenate()([scales_n, scales_p])
scales = Dense(channels, activation='linear', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(scales)
scales = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(scales)
scales = Activation('relu')(scales)
scales = Dense(channels, activation='linear', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(scales)
scales = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(scales)
scales = Activation('sigmoid')(scales)
scales = Reshape((1,1,channels))(scales)
# apply a paramtetric relu
neg_part = keras.layers.multiply([scales, neg_input])
return keras.layers.add([pos_input, neg_part])
# Residual Block
def residual_block(incoming, nb_blocks, out_channels, downsample=False,
downsample_strides=2):
residual = incoming
in_channels = incoming.get_shape().as_list()[-1]
for i in range(nb_blocks):
identity = residual
if not downsample:
downsample_strides = 1
residual = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(residual)
residual = aprelu(residual)
residual = Conv2D(out_channels, 3, strides=(downsample_strides, downsample_strides),
padding='same', kernel_initializer='he_normal',
kernel_regularizer=l2(1e-4))(residual)
residual = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(residual)
residual = aprelu(residual)
residual = Conv2D(out_channels, 3, padding='same', kernel_initializer='he_normal',
kernel_regularizer=l2(1e-4))(residual)
# Downsampling
if downsample_strides > 1:
identity = AveragePooling2D(pool_size=(1,1), strides=(2,2))(identity)
# Zero_padding to match channels
if in_channels != out_channels:
zeros_identity = keras.layers.subtract([identity, identity])
identity = keras.layers.concatenate([identity, zeros_identity])
in_channels = out_channels
residual = keras.layers.add([residual, identity])
return residual
# define and train a model
inputs = Input(shape=(32, 32, 3))
net = Conv2D(16, 3, padding='same', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(inputs)
net = residual_block(net, 20, 16, downsample=False)
net = residual_block(net, 1, 32, downsample=True)
net = residual_block(net, 19, 32, downsample=False)
net = residual_block(net, 1, 64, downsample=True)
net = residual_block(net, 19, 64, downsample=False)
net = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(net)
net = Activation('relu')(net)
net = GlobalAveragePooling2D()(net)
outputs = Dense(10, activation='softmax', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(net)
model = Model(inputs=inputs, outputs=outputs)
sgd = optimizers.SGD(lr=0.1, decay=0., momentum=0.9, nesterov=True)
model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy'])
# data augmentation
datagen = ImageDataGenerator(
# randomly rotate images in the range (deg 0 to 180)
rotation_range=30,
# shear angle in counter-clockwise direction in degrees
shear_range = 30,
# randomly flip images
horizontal_flip=True,
# randomly shift images horizontally
width_shift_range=0.125,
# randomly shift images vertically
height_shift_range=0.125)
reduce_lr = LearningRateScheduler(scheduler)
# fit the model on the batches generated by datagen.flow().
model.fit_generator(datagen.flow(x_train, y_train, batch_size=100),
validation_data=(x_test, y_test), epochs=1000,
verbose=1, callbacks=[reduce_lr], workers=4)
# get results
K.set_learning_phase(0)
DRSN_train_score = model.evaluate(x_train, y_train, batch_size=100, verbose=0)
print('Train loss:', DRSN_train_score[0])
print('Train accuracy:', DRSN_train_score[1])
DRSN_test_score = model.evaluate(x_test, y_test, batch_size=100, verbose=0)
print('Test loss:', DRSN_test_score[0])
print('Test accuracy:', DRSN_test_score[1])
实验结果如下（跑得好慢，不知道能不能跑完）：
Using TensorFlow backend. x_train shape: (50000, 32, 32, 3) 50000 train samples 10000 test samples Epoch 1/1000 500/500 [==============================] - 216s 433ms/step - loss: 5.3303 - acc: 0.3881 - val_loss: 4.6744 - val_acc: 0.5067 Epoch 2/1000 500/500 [==============================] - 142s 284ms/step - loss: 4.3438 - acc: 0.5292 - val_loss: 3.8578 - val_acc: 0.6084 Epoch 3/1000 500/500 [==============================] - 142s 284ms/step - loss: 3.6504 - acc: 0.5949 - val_loss: 3.2425 - val_acc: 0.6673 Epoch 4/1000 500/500 [==============================] - 142s 284ms/step - loss: 3.1230 - acc: 0.6384 - val_loss: 2.8284 - val_acc: 0.6826 Epoch 5/1000 500/500 [==============================] - 142s 284ms/step - loss: 2.7009 - acc: 0.6656 - val_loss: 2.4285 - val_acc: 0.7164 Epoch 6/1000 500/500 [==============================] - 142s 284ms/step - loss: 2.3806 - acc: 0.6838 - val_loss: 2.1267 - val_acc: 0.7293 Epoch 7/1000 500/500 [==============================] - 142s 284ms/step - loss: 2.1009 - acc: 0.7026 - val_loss: 1.9077 - val_acc: 0.7389 Epoch 8/1000 500/500 [==============================] - 142s 284ms/step - loss: 1.8769 - acc: 0.7181 - val_loss: 1.7067 - val_acc: 0.7544 Epoch 9/1000 500/500 [==============================] - 142s 284ms/step - loss: 1.6922 - acc: 0.7336 - val_loss: 1.5801 - val_acc: 0.7518 Epoch 10/1000 500/500 [==============================] - 142s 284ms/step - loss: 1.5452 - acc: 0.7440 - val_loss: 1.4281 - val_acc: 0.7685 Epoch 11/1000 500/500 [==============================] - 142s 284ms/step - loss: 1.4296 - acc: 0.7495 - val_loss: 1.3131 - val_acc: 0.7802 Epoch 12/1000 500/500 [==============================] - 142s 284ms/step - loss: 1.3341 - acc: 0.7572 - val_loss: 1.2388 - val_acc: 0.7803 Epoch 13/1000 500/500 [==============================] - 142s 284ms/step - loss: 1.2588 - acc: 0.7623 - val_loss: 1.1707 - val_acc: 0.7887 Epoch 14/1000 500/500 [==============================] - 142s 284ms/step - loss: 1.1930 - acc: 0.7688 - val_loss: 1.0920 - val_acc: 0.8042 Epoch 15/1000 500/500 [==============================] - 142s 284ms/step - loss: 1.1506 - acc: 0.7699 - val_loss: 1.0500 - val_acc: 0.8034 Epoch 16/1000 500/500 [==============================] - 142s 284ms/step - loss: 1.1056 - acc: 0.7766 - val_loss: 1.0199 - val_acc: 0.8052 Epoch 17/1000 500/500 [==============================] - 142s 284ms/step - loss: 1.0735 - acc: 0.7772 - val_loss: 0.9737 - val_acc: 0.8178 Epoch 18/1000 500/500 [==============================] - 142s 284ms/step - loss: 1.0420 - acc: 0.7833 - val_loss: 0.9912 - val_acc: 0.8025 Epoch 19/1000 500/500 [==============================] - 142s 284ms/step - loss: 1.0156 - acc: 0.7860 - val_loss: 0.9525 - val_acc: 0.8041 Epoch 20/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.9980 - acc: 0.7892 - val_loss: 0.9304 - val_acc: 0.8140 Epoch 21/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.9773 - acc: 0.7910 - val_loss: 0.9240 - val_acc: 0.8116 Epoch 22/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.9600 - acc: 0.7931 - val_loss: 0.8714 - val_acc: 0.8248 Epoch 23/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.9449 - acc: 0.7969 - val_loss: 0.8751 - val_acc: 0.8234 Epoch 24/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.9424 - acc: 0.7958 - val_loss: 0.8551 - val_acc: 0.8261 Epoch 25/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.9224 - acc: 0.8039 - val_loss: 0.8438 - val_acc: 0.8336 Epoch 26/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.9131 - acc: 0.8023 - val_loss: 0.8542 - val_acc: 0.8272 Epoch 27/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8975 - acc: 0.8069 - val_loss: 0.8719 - val_acc: 0.8196 Epoch 28/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8987 - acc: 0.8085 - val_loss: 0.8269 - val_acc: 0.8355 Epoch 29/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8824 - acc: 0.8122 - val_loss: 0.8305 - val_acc: 0.8324 Epoch 30/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8837 - acc: 0.8102 - val_loss: 0.8332 - val_acc: 0.8247 Epoch 31/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8727 - acc: 0.8130 - val_loss: 0.8075 - val_acc: 0.8386 Epoch 32/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8686 - acc: 0.8154 - val_loss: 0.8198 - val_acc: 0.8350 Epoch 33/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8608 - acc: 0.8150 - val_loss: 0.8006 - val_acc: 0.8396 Epoch 34/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8553 - acc: 0.8188 - val_loss: 0.8249 - val_acc: 0.8324 Epoch 35/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8474 - acc: 0.8197 - val_loss: 0.7876 - val_acc: 0.8437 Epoch 36/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8473 - acc: 0.8218 - val_loss: 0.7648 - val_acc: 0.8555 Epoch 37/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8410 - acc: 0.8235 - val_loss: 0.7866 - val_acc: 0.8432 Epoch 38/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.8334 - acc: 0.8245 - val_loss: 0.7785 - val_acc: 0.8473 Epoch 39/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8336 - acc: 0.8263 - val_loss: 0.7783 - val_acc: 0.8486 Epoch 40/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8337 - acc: 0.8245 - val_loss: 0.7782 - val_acc: 0.8461 Epoch 41/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8292 - acc: 0.8257 - val_loss: 0.7696 - val_acc: 0.8498 Epoch 42/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8203 - acc: 0.8298 - val_loss: 0.7618 - val_acc: 0.8511 Epoch 43/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8209 - acc: 0.8303 - val_loss: 0.7634 - val_acc: 0.8551 Epoch 44/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8163 - acc: 0.8327 - val_loss: 0.7719 - val_acc: 0.8449 Epoch 45/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.8072 - acc: 0.8328 - val_loss: 0.7635 - val_acc: 0.8493 Epoch 46/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8127 - acc: 0.8324 - val_loss: 0.7725 - val_acc: 0.8495 Epoch 47/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.8081 - acc: 0.8343 - val_loss: 0.7576 - val_acc: 0.8537 Epoch 48/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8090 - acc: 0.8322 - val_loss: 0.7421 - val_acc: 0.8603 Epoch 49/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.8041 - acc: 0.8344 - val_loss: 0.7422 - val_acc: 0.8576 Epoch 50/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8008 - acc: 0.8361 - val_loss: 0.7472 - val_acc: 0.8566 Epoch 51/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.8013 - acc: 0.8379 - val_loss: 0.7385 - val_acc: 0.8585 Epoch 52/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.7964 - acc: 0.8381 - val_loss: 0.7805 - val_acc: 0.8453 Epoch 53/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.7929 - acc: 0.8387 - val_loss: 0.7597 - val_acc: 0.8516 Epoch 54/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7945 - acc: 0.8388 - val_loss: 0.7596 - val_acc: 0.8529 Epoch 55/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.7904 - acc: 0.8407 - val_loss: 0.7376 - val_acc: 0.8594 Epoch 56/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7806 - acc: 0.8443 - val_loss: 0.7478 - val_acc: 0.8551 Epoch 57/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7807 - acc: 0.8444 - val_loss: 0.7536 - val_acc: 0.8547 Epoch 58/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7838 - acc: 0.8440 - val_loss: 0.7164 - val_acc: 0.8686 Epoch 59/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7777 - acc: 0.8444 - val_loss: 0.7441 - val_acc: 0.8601 Epoch 60/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7786 - acc: 0.8461 - val_loss: 0.7339 - val_acc: 0.8603 Epoch 61/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7765 - acc: 0.8438 - val_loss: 0.7224 - val_acc: 0.8649 Epoch 62/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7733 - acc: 0.8462 - val_loss: 0.7340 - val_acc: 0.8584 Epoch 63/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7694 - acc: 0.8475 - val_loss: 0.7215 - val_acc: 0.8658 Epoch 64/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7734 - acc: 0.8451 - val_loss: 0.7256 - val_acc: 0.8662 Epoch 65/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7726 - acc: 0.8461 - val_loss: 0.7094 - val_acc: 0.8699 Epoch 66/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7731 - acc: 0.8464 - val_loss: 0.7434 - val_acc: 0.8636 Epoch 67/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7707 - acc: 0.8470 - val_loss: 0.7170 - val_acc: 0.8668 Epoch 68/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7649 - acc: 0.8481 - val_loss: 0.7423 - val_acc: 0.8611 Epoch 69/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7691 - acc: 0.8477 - val_loss: 0.7237 - val_acc: 0.8621 Epoch 70/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7679 - acc: 0.8482 - val_loss: 0.7110 - val_acc: 0.8717 Epoch 71/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7633 - acc: 0.8492 - val_loss: 0.7444 - val_acc: 0.8622 Epoch 72/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7622 - acc: 0.8502 - val_loss: 0.7188 - val_acc: 0.8630 Epoch 73/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7578 - acc: 0.8515 - val_loss: 0.7131 - val_acc: 0.8706 Epoch 74/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7600 - acc: 0.8499 - val_loss: 0.7096 - val_acc: 0.8716 Epoch 75/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7576 - acc: 0.8506 - val_loss: 0.7224 - val_acc: 0.8640 Epoch 76/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7571 - acc: 0.8519 - val_loss: 0.7212 - val_acc: 0.8660 Epoch 77/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7566 - acc: 0.8537 - val_loss: 0.7008 - val_acc: 0.8733 Epoch 78/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7559 - acc: 0.8516 - val_loss: 0.7283 - val_acc: 0.8635 Epoch 79/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7524 - acc: 0.8541 - val_loss: 0.7403 - val_acc: 0.8573 Epoch 80/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7504 - acc: 0.8536 - val_loss: 0.7243 - val_acc: 0.8656 Epoch 81/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7499 - acc: 0.8536 - val_loss: 0.7063 - val_acc: 0.8732 Epoch 82/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7473 - acc: 0.8565 - val_loss: 0.6971 - val_acc: 0.8747 Epoch 83/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7473 - acc: 0.8551 - val_loss: 0.7468 - val_acc: 0.8552 Epoch 84/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7482 - acc: 0.8553 - val_loss: 0.7314 - val_acc: 0.8598 Epoch 85/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.7482 - acc: 0.8535 - val_loss: 0.6948 - val_acc: 0.8744 Epoch 86/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7483 - acc: 0.8534 - val_loss: 0.7078 - val_acc: 0.8709 Epoch 87/1000 500/500 [==============================] - 143s 285ms/step - loss: 0.7423 - acc: 0.8562 - val_loss: 0.7032 - val_acc: 0.8722 Epoch 88/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7454 - acc: 0.8552 - val_loss: 0.7115 - val_acc: 0.8688 Epoch 89/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7392 - acc: 0.8578 - val_loss: 0.7133 - val_acc: 0.8657 Epoch 90/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7432 - acc: 0.8582 - val_loss: 0.6976 - val_acc: 0.8736 Epoch 91/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7391 - acc: 0.8568 - val_loss: 0.6976 - val_acc: 0.8726 Epoch 92/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7423 - acc: 0.8551 - val_loss: 0.7116 - val_acc: 0.8693 Epoch 93/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7412 - acc: 0.8559 - val_loss: 0.7249 - val_acc: 0.8657 Epoch 94/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7374 - acc: 0.8579 - val_loss: 0.6937 - val_acc: 0.8782 Epoch 95/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7339 - acc: 0.8578 - val_loss: 0.6872 - val_acc: 0.8770 Epoch 96/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7422 - acc: 0.8561 - val_loss: 0.7079 - val_acc: 0.8712 Epoch 97/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7376 - acc: 0.8598 - val_loss: 0.7335 - val_acc: 0.8619 Epoch 98/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7357 - acc: 0.8585 - val_loss: 0.6998 - val_acc: 0.8762 Epoch 99/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7355 - acc: 0.8589 - val_loss: 0.6954 - val_acc: 0.8751 Epoch 100/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7331 - acc: 0.8608 - val_loss: 0.7237 - val_acc: 0.8646 Epoch 101/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7293 - acc: 0.8610 - val_loss: 0.7088 - val_acc: 0.8710 Epoch 102/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7336 - acc: 0.8597 - val_loss: 0.7064 - val_acc: 0.8712 Epoch 103/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7329 - acc: 0.8599 - val_loss: 0.6799 - val_acc: 0.8843 Epoch 104/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7279 - acc: 0.8624 - val_loss: 0.6911 - val_acc: 0.8754 Epoch 105/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7301 - acc: 0.8616 - val_loss: 0.7133 - val_acc: 0.8665 Epoch 106/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7348 - acc: 0.8580 - val_loss: 0.7112 - val_acc: 0.8689 Epoch 107/1000 500/500 [==============================] - 142s 283ms/step - loss: 0.7331 - acc: 0.8608 - val_loss: 0.7015 - val_acc: 0.8733 Epoch 108/1000 500/500 [==============================] - 141s 283ms/step - loss: 0.7302 - acc: 0.8614 - val_loss: 0.7154 - val_acc: 0.8663 Epoch 109/1000 500/500 [==============================] - 142s 283ms/step - loss: 0.7274 - acc: 0.8618 - val_loss: 0.7076 - val_acc: 0.8682 Epoch 110/1000 500/500 [==============================] - 142s 283ms/step - loss: 0.7303 - acc: 0.8604 - val_loss: 0.7166 - val_acc: 0.8689 Epoch 111/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7253 - acc: 0.8616 - val_loss: 0.6957 - val_acc: 0.8788 Epoch 112/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7317 - acc: 0.8603 - val_loss: 0.6839 - val_acc: 0.8784 Epoch 113/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7245 - acc: 0.8631 - val_loss: 0.7076 - val_acc: 0.8711 Epoch 114/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7302 - acc: 0.8622 - val_loss: 0.7022 - val_acc: 0.8759 Epoch 115/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7247 - acc: 0.8630 - val_loss: 0.6978 - val_acc: 0.8745 Epoch 116/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7179 - acc: 0.8648 - val_loss: 0.6849 - val_acc: 0.8812 Epoch 117/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7267 - acc: 0.8636 - val_loss: 0.6885 - val_acc: 0.8771 Epoch 118/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7215 - acc: 0.8616 - val_loss: 0.6948 - val_acc: 0.8755 Epoch 119/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7246 - acc: 0.8634 - val_loss: 0.7062 - val_acc: 0.8697 Epoch 120/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7213 - acc: 0.8641 - val_loss: 0.6994 - val_acc: 0.8754 Epoch 121/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7216 - acc: 0.8649 - val_loss: 0.6949 - val_acc: 0.8742 Epoch 122/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7252 - acc: 0.8634 - val_loss: 0.6923 - val_acc: 0.8772 Epoch 123/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7219 - acc: 0.8639 - val_loss: 0.6769 - val_acc: 0.8797 Epoch 124/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7191 - acc: 0.8650 - val_loss: 0.7037 - val_acc: 0.8727 Epoch 125/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7196 - acc: 0.8652 - val_loss: 0.6791 - val_acc: 0.8809 Epoch 126/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7211 - acc: 0.8651 - val_loss: 0.6945 - val_acc: 0.8768 Epoch 127/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7178 - acc: 0.8650 - val_loss: 0.7042 - val_acc: 0.8745 Epoch 128/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7214 - acc: 0.8654 - val_loss: 0.6981 - val_acc: 0.8744 Epoch 129/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7195 - acc: 0.8652 - val_loss: 0.6753 - val_acc: 0.8834 Epoch 130/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7148 - acc: 0.8675 - val_loss: 0.6814 - val_acc: 0.8768 Epoch 131/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7188 - acc: 0.8648 - val_loss: 0.6965 - val_acc: 0.8718 Epoch 132/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7161 - acc: 0.8661 - val_loss: 0.6995 - val_acc: 0.8713 Epoch 133/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7176 - acc: 0.8645 - val_loss: 0.6922 - val_acc: 0.8764 Epoch 134/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7151 - acc: 0.8646 - val_loss: 0.6790 - val_acc: 0.8806 Epoch 135/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7167 - acc: 0.8644 - val_loss: 0.6733 - val_acc: 0.8828 Epoch 136/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7163 - acc: 0.8657 - val_loss: 0.6853 - val_acc: 0.8809 Epoch 137/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7088 - acc: 0.8698 - val_loss: 0.6670 - val_acc: 0.8843 Epoch 138/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7098 - acc: 0.8662 - val_loss: 0.6837 - val_acc: 0.8793 Epoch 139/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7109 - acc: 0.8671 - val_loss: 0.6929 - val_acc: 0.8767 Epoch 140/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7109 - acc: 0.8682 - val_loss: 0.6977 - val_acc: 0.8751 Epoch 141/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7152 - acc: 0.8666 - val_loss: 0.6836 - val_acc: 0.8769 Epoch 142/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7100 - acc: 0.8669 - val_loss: 0.6742 - val_acc: 0.8822 Epoch 143/1000 500/500 [==============================] - 143s 286ms/step - loss: 0.7144 - acc: 0.8661 - val_loss: 0.6953 - val_acc: 0.8777 Epoch 144/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7067 - acc: 0.8692 - val_loss: 0.6899 - val_acc: 0.8761 Epoch 145/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7109 - acc: 0.8655 - val_loss: 0.6713 - val_acc: 0.8829 Epoch 146/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7063 - acc: 0.8675 - val_loss: 0.7086 - val_acc: 0.8714 Epoch 147/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7129 - acc: 0.8666 - val_loss: 0.6727 - val_acc: 0.8836 Epoch 148/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7027 - acc: 0.8698 - val_loss: 0.6494 - val_acc: 0.8887 Epoch 149/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7073 - acc: 0.8666 - val_loss: 0.6780 - val_acc: 0.8815 Epoch 150/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7070 - acc: 0.8700 - val_loss: 0.6805 - val_acc: 0.8806 Epoch 151/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7108 - acc: 0.8678 - val_loss: 0.6577 - val_acc: 0.8856 Epoch 152/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7040 - acc: 0.8711 - val_loss: 0.6734 - val_acc: 0.8844 Epoch 153/1000 500/500 [==============================] - 142s 283ms/step - loss: 0.7087 - acc: 0.8688 - val_loss: 0.6897 - val_acc: 0.8765 Epoch 154/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7074 - acc: 0.8694 - val_loss: 0.6765 - val_acc: 0.8838 Epoch 155/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7035 - acc: 0.8697 - val_loss: 0.6951 - val_acc: 0.8793 Epoch 156/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7086 - acc: 0.8694 - val_loss: 0.6608 - val_acc: 0.8847 Epoch 157/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7095 - acc: 0.8678 - val_loss: 0.6774 - val_acc: 0.8786 Epoch 158/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7077 - acc: 0.8696 - val_loss: 0.6807 - val_acc: 0.8792 Epoch 159/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7113 - acc: 0.8687 - val_loss: 0.6760 - val_acc: 0.8847 Epoch 160/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7078 - acc: 0.8688 - val_loss: 0.6829 - val_acc: 0.8789 Epoch 161/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7034 - acc: 0.8707 - val_loss: 0.6821 - val_acc: 0.8816 Epoch 162/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7044 - acc: 0.8685 - val_loss: 0.6610 - val_acc: 0.8828 Epoch 163/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6975 - acc: 0.8738 - val_loss: 0.6520 - val_acc: 0.8910 Epoch 164/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7046 - acc: 0.8709 - val_loss: 0.6711 - val_acc: 0.8845 Epoch 165/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7067 - acc: 0.8699 - val_loss: 0.6878 - val_acc: 0.8732 Epoch 166/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7055 - acc: 0.8692 - val_loss: 0.6733 - val_acc: 0.8795 Epoch 167/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7055 - acc: 0.8703 - val_loss: 0.6827 - val_acc: 0.8806 Epoch 168/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6999 - acc: 0.8719 - val_loss: 0.6782 - val_acc: 0.8779 Epoch 169/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7011 - acc: 0.8713 - val_loss: 0.6690 - val_acc: 0.8869 Epoch 170/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7037 - acc: 0.8697 - val_loss: 0.6687 - val_acc: 0.8835 Epoch 171/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7050 - acc: 0.8687 - val_loss: 0.6669 - val_acc: 0.8845 Epoch 172/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6990 - acc: 0.8723 - val_loss: 0.6920 - val_acc: 0.8777 Epoch 173/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7064 - acc: 0.8682 - val_loss: 0.6815 - val_acc: 0.8770 Epoch 174/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7060 - acc: 0.8685 - val_loss: 0.6752 - val_acc: 0.8814 Epoch 175/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7041 - acc: 0.8684 - val_loss: 0.6824 - val_acc: 0.8807 Epoch 176/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6979 - acc: 0.8711 - val_loss: 0.6680 - val_acc: 0.8861 Epoch 177/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7055 - acc: 0.8709 - val_loss: 0.6766 - val_acc: 0.8774 Epoch 178/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7005 - acc: 0.8715 - val_loss: 0.6983 - val_acc: 0.8748 Epoch 179/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6979 - acc: 0.8722 - val_loss: 0.6873 - val_acc: 0.8777 Epoch 180/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7041 - acc: 0.8692 - val_loss: 0.6644 - val_acc: 0.8874 Epoch 181/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6983 - acc: 0.8711 - val_loss: 0.6860 - val_acc: 0.8800 Epoch 182/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6964 - acc: 0.8730 - val_loss: 0.6701 - val_acc: 0.8851 Epoch 183/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6949 - acc: 0.8740 - val_loss: 0.6826 - val_acc: 0.8826 Epoch 184/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6990 - acc: 0.8720 - val_loss: 0.6650 - val_acc: 0.8883 Epoch 185/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6946 - acc: 0.8735 - val_loss: 0.6783 - val_acc: 0.8813 Epoch 186/1000 500/500 [==============================] - 142s 283ms/step - loss: 0.6986 - acc: 0.8737 - val_loss: 0.6683 - val_acc: 0.8848 Epoch 187/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6934 - acc: 0.8729 - val_loss: 0.6800 - val_acc: 0.8801 Epoch 188/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7006 - acc: 0.8711 - val_loss: 0.6956 - val_acc: 0.8757 Epoch 189/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6959 - acc: 0.8712 - val_loss: 0.6650 - val_acc: 0.8876 Epoch 190/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6991 - acc: 0.8718 - val_loss: 0.6821 - val_acc: 0.8785 Epoch 191/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7015 - acc: 0.8704 - val_loss: 0.6750 - val_acc: 0.8830 Epoch 192/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.7000 - acc: 0.8715 - val_loss: 0.6775 - val_acc: 0.8804 Epoch 193/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6978 - acc: 0.8719 - val_loss: 0.6919 - val_acc: 0.8782 Epoch 194/1000 500/500 [==============================] - 142s 283ms/step - loss: 0.6958 - acc: 0.8732 - val_loss: 0.6706 - val_acc: 0.8852 Epoch 195/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6995 - acc: 0.8717 - val_loss: 0.6769 - val_acc: 0.8802 Epoch 196/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6975 - acc: 0.8712 - val_loss: 0.6609 - val_acc: 0.8888 Epoch 197/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6955 - acc: 0.8725 - val_loss: 0.6624 - val_acc: 0.8870 Epoch 198/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6981 - acc: 0.8726 - val_loss: 0.6550 - val_acc: 0.8912 Epoch 199/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6961 - acc: 0.8730 - val_loss: 0.6892 - val_acc: 0.8796 Epoch 200/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6936 - acc: 0.8744 - val_loss: 0.6906 - val_acc: 0.8792 Epoch 201/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6940 - acc: 0.8746 - val_loss: 0.6571 - val_acc: 0.8881 Epoch 202/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6899 - acc: 0.8751 - val_loss: 0.6537 - val_acc: 0.8904 Epoch 203/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6970 - acc: 0.8720 - val_loss: 0.6717 - val_acc: 0.8848 Epoch 204/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6917 - acc: 0.8743 - val_loss: 0.6643 - val_acc: 0.8850 Epoch 205/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6927 - acc: 0.8745 - val_loss: 0.6841 - val_acc: 0.8804 Epoch 206/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6957 - acc: 0.8723 - val_loss: 0.6947 - val_acc: 0.8750 Epoch 207/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6913 - acc: 0.8760 - val_loss: 0.6755 - val_acc: 0.8827 Epoch 208/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6975 - acc: 0.8723 - val_loss: 0.6626 - val_acc: 0.8837 Epoch 209/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6920 - acc: 0.8748 - val_loss: 0.6797 - val_acc: 0.8803 Epoch 210/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6958 - acc: 0.8737 - val_loss: 0.6869 - val_acc: 0.8791 Epoch 211/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6906 - acc: 0.8731 - val_loss: 0.6656 - val_acc: 0.8865 Epoch 212/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6946 - acc: 0.8726 - val_loss: 0.6841 - val_acc: 0.8813 Epoch 213/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6930 - acc: 0.8738 - val_loss: 0.6858 - val_acc: 0.8770 Epoch 214/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6955 - acc: 0.8717 - val_loss: 0.6848 - val_acc: 0.8851 Epoch 215/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6964 - acc: 0.8728 - val_loss: 0.6671 - val_acc: 0.8836 Epoch 216/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6889 - acc: 0.8743 - val_loss: 0.6633 - val_acc: 0.8885 Epoch 217/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6965 - acc: 0.8724 - val_loss: 0.6691 - val_acc: 0.8833 Epoch 218/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6906 - acc: 0.8749 - val_loss: 0.6752 - val_acc: 0.8843 Epoch 219/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6926 - acc: 0.8733 - val_loss: 0.6759 - val_acc: 0.8821 Epoch 220/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6953 - acc: 0.8736 - val_loss: 0.6813 - val_acc: 0.8796 Epoch 221/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6904 - acc: 0.8745 - val_loss: 0.6864 - val_acc: 0.8803 Epoch 222/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6912 - acc: 0.8754 - val_loss: 0.6892 - val_acc: 0.8775 Epoch 223/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6887 - acc: 0.8757 - val_loss: 0.6630 - val_acc: 0.8857 Epoch 224/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6940 - acc: 0.8746 - val_loss: 0.6808 - val_acc: 0.8789 Epoch 225/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6901 - acc: 0.8739 - val_loss: 0.6795 - val_acc: 0.8786 Epoch 226/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6932 - acc: 0.8741 - val_loss: 0.6934 - val_acc: 0.8785 Epoch 227/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6949 - acc: 0.8734 - val_loss: 0.6660 - val_acc: 0.8854 Epoch 228/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6909 - acc: 0.8758 - val_loss: 0.6684 - val_acc: 0.8836 Epoch 229/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6910 - acc: 0.8759 - val_loss: 0.6811 - val_acc: 0.8853 Epoch 230/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6958 - acc: 0.8736 - val_loss: 0.6751 - val_acc: 0.8847 Epoch 231/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6937 - acc: 0.8742 - val_loss: 0.6626 - val_acc: 0.8904 Epoch 232/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6904 - acc: 0.8763 - val_loss: 0.6724 - val_acc: 0.8850 Epoch 233/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6860 - acc: 0.8769 - val_loss: 0.6722 - val_acc: 0.8854 Epoch 234/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6957 - acc: 0.8731 - val_loss: 0.6722 - val_acc: 0.8829 Epoch 235/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6909 - acc: 0.8755 - val_loss: 0.6749 - val_acc: 0.8835 Epoch 236/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6891 - acc: 0.8758 - val_loss: 0.6551 - val_acc: 0.8885 Epoch 237/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6888 - acc: 0.8742 - val_loss: 0.6953 - val_acc: 0.8778 Epoch 238/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6907 - acc: 0.8760 - val_loss: 0.6752 - val_acc: 0.8844 Epoch 239/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6894 - acc: 0.8764 - val_loss: 0.6801 - val_acc: 0.8820 Epoch 240/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6893 - acc: 0.8761 - val_loss: 0.6842 - val_acc: 0.8816 Epoch 241/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6895 - acc: 0.8754 - val_loss: 0.6722 - val_acc: 0.8817 Epoch 242/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6895 - acc: 0.8767 - val_loss: 0.6942 - val_acc: 0.8757 Epoch 243/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6934 - acc: 0.8734 - val_loss: 0.6603 - val_acc: 0.8851 Epoch 244/1000 500/500 [==============================] - 141s 283ms/step - loss: 0.6851 - acc: 0.8772 - val_loss: 0.6947 - val_acc: 0.8764 Epoch 245/1000 500/500 [==============================] - 142s 283ms/step - loss: 0.6875 - acc: 0.8759 - val_loss: 0.6707 - val_acc: 0.8863 Epoch 246/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6858 - acc: 0.8747 - val_loss: 0.6729 - val_acc: 0.8814 Epoch 247/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6881 - acc: 0.8778 - val_loss: 0.6919 - val_acc: 0.8765 Epoch 248/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6844 - acc: 0.8776 - val_loss: 0.6899 - val_acc: 0.8821 Epoch 249/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6890 - acc: 0.8763 - val_loss: 0.6534 - val_acc: 0.8901 Epoch 250/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6825 - acc: 0.8784 - val_loss: 0.6682 - val_acc: 0.8849 Epoch 251/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6847 - acc: 0.8777 - val_loss: 0.6655 - val_acc: 0.8860 Epoch 252/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6814 - acc: 0.8791 - val_loss: 0.6657 - val_acc: 0.8860 Epoch 253/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6873 - acc: 0.8742 - val_loss: 0.6804 - val_acc: 0.8793 Epoch 254/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6887 - acc: 0.8754 - val_loss: 0.6719 - val_acc: 0.8835 Epoch 255/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6847 - acc: 0.8764 - val_loss: 0.6631 - val_acc: 0.8857 Epoch 256/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6896 - acc: 0.8743 - val_loss: 0.6694 - val_acc: 0.8846 Epoch 257/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6900 - acc: 0.8756 - val_loss: 0.6771 - val_acc: 0.8810 Epoch 258/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6860 - acc: 0.8764 - val_loss: 0.6694 - val_acc: 0.8843 Epoch 259/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6875 - acc: 0.8786 - val_loss: 0.6747 - val_acc: 0.8807 Epoch 260/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6857 - acc: 0.8768 - val_loss: 0.6458 - val_acc: 0.8938 Epoch 261/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6880 - acc: 0.8771 - val_loss: 0.6855 - val_acc: 0.8788 Epoch 262/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6839 - acc: 0.8777 - val_loss: 0.6723 - val_acc: 0.8851 Epoch 263/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6819 - acc: 0.8783 - val_loss: 0.6738 - val_acc: 0.8845 Epoch 264/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6867 - acc: 0.8784 - val_loss: 0.6809 - val_acc: 0.8790 Epoch 265/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6805 - acc: 0.8810 - val_loss: 0.6750 - val_acc: 0.8846 Epoch 266/1000 500/500 [==============================] - 141s 283ms/step - loss: 0.6809 - acc: 0.8781 - val_loss: 0.6584 - val_acc: 0.8878 Epoch 267/1000 500/500 [==============================] - 142s 283ms/step - loss: 0.6944 - acc: 0.8722 - val_loss: 0.6598 - val_acc: 0.8875 Epoch 268/1000 500/500 [==============================] - 141s 283ms/step - loss: 0.6847 - acc: 0.8779 - val_loss: 0.6825 - val_acc: 0.8817 Epoch 269/1000 500/500 [==============================] - 141s 283ms/step - loss: 0.6824 - acc: 0.8786 - val_loss: 0.6552 - val_acc: 0.8908 Epoch 270/1000 500/500 [==============================] - 141s 283ms/step - loss: 0.6830 - acc: 0.8783 - val_loss: 0.6820 - val_acc: 0.8767 Epoch 271/1000 500/500 [==============================] - 141s 283ms/step - loss: 0.6903 - acc: 0.8752 - val_loss: 0.6685 - val_acc: 0.8855 Epoch 272/1000 500/500 [==============================] - 141s 283ms/step - loss: 0.6861 - acc: 0.8760 - val_loss: 0.6707 - val_acc: 0.8873 Epoch 273/1000 500/500 [==============================] - 142s 283ms/step - loss: 0.6823 - acc: 0.8782 - val_loss: 0.6721 - val_acc: 0.8864 Epoch 274/1000 500/500 [==============================] - 141s 283ms/step - loss: 0.6862 - acc: 0.8769 - val_loss: 0.6764 - val_acc: 0.8866 Epoch 275/1000 500/500 [==============================] - 141s 283ms/step - loss: 0.6825 - acc: 0.8785 - val_loss: 0.6673 - val_acc: 0.8861 Epoch 276/1000 500/500 [==============================] - 142s 283ms/step - loss: 0.6842 - acc: 0.8771 - val_loss: 0.6757 - val_acc: 0.8835 Epoch 277/1000 500/500 [==============================] - 142s 283ms/step - loss: 0.6855 - acc: 0.8777 - val_loss: 0.6769 - val_acc: 0.8814 Epoch 278/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6793 - acc: 0.8802 - val_loss: 0.6618 - val_acc: 0.8883 Epoch 279/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6854 - acc: 0.8766 - val_loss: 0.6965 - val_acc: 0.8743 Epoch 280/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6824 - acc: 0.8792 - val_loss: 0.6720 - val_acc: 0.8842 Epoch 281/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6786 - acc: 0.8790 - val_loss: 0.6589 - val_acc: 0.8883 Epoch 282/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6781 - acc: 0.8797 - val_loss: 0.6620 - val_acc: 0.8862 Epoch 283/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6845 - acc: 0.8786 - val_loss: 0.6936 - val_acc: 0.8802 Epoch 284/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6866 - acc: 0.8772 - val_loss: 0.6678 - val_acc: 0.8890 Epoch 285/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6829 - acc: 0.8787 - val_loss: 0.6630 - val_acc: 0.8866 Epoch 286/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6763 - acc: 0.8796 - val_loss: 0.6597 - val_acc: 0.8893 Epoch 287/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6833 - acc: 0.8774 - val_loss: 0.6752 - val_acc: 0.8866 Epoch 288/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6858 - acc: 0.8768 - val_loss: 0.6617 - val_acc: 0.8902 Epoch 289/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6784 - acc: 0.8799 - val_loss: 0.6634 - val_acc: 0.8872 Epoch 290/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6807 - acc: 0.8778 - val_loss: 0.6564 - val_acc: 0.8896 Epoch 291/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6835 - acc: 0.8769 - val_loss: 0.6628 - val_acc: 0.8877 Epoch 292/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6783 - acc: 0.8798 - val_loss: 0.6887 - val_acc: 0.8813 Epoch 293/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6795 - acc: 0.8810 - val_loss: 0.6590 - val_acc: 0.8899 Epoch 294/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6799 - acc: 0.8798 - val_loss: 0.6599 - val_acc: 0.8873 Epoch 295/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6856 - acc: 0.8792 - val_loss: 0.6636 - val_acc: 0.8880 Epoch 296/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6832 - acc: 0.8802 - val_loss: 0.6513 - val_acc: 0.8926 Epoch 297/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6785 - acc: 0.8794 - val_loss: 0.6568 - val_acc: 0.8886 Epoch 298/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6832 - acc: 0.8782 - val_loss: 0.6697 - val_acc: 0.8872 Epoch 299/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.6771 - acc: 0.8813 - val_loss: 0.6714 - val_acc: 0.8825 Epoch 300/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.6814 - acc: 0.8784 - val_loss: 0.6857 - val_acc: 0.8821 Epoch 301/1000 lr changed to 0.010000000149011612 500/500 [==============================] - 142s 284ms/step - loss: 0.5714 - acc: 0.9156 - val_loss: 0.5648 - val_acc: 0.9171 Epoch 302/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.5073 - acc: 0.9362 - val_loss: 0.5481 - val_acc: 0.9236 Epoch 303/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.4913 - acc: 0.9412 - val_loss: 0.5391 - val_acc: 0.9228 Epoch 304/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.4714 - acc: 0.9455 - val_loss: 0.5304 - val_acc: 0.9255 Epoch 305/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.4592 - acc: 0.9481 - val_loss: 0.5223 - val_acc: 0.9253 Epoch 306/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.4452 - acc: 0.9512 - val_loss: 0.5173 - val_acc: 0.9271 Epoch 307/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.4350 - acc: 0.9520 - val_loss: 0.5130 - val_acc: 0.9272 Epoch 308/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.4268 - acc: 0.9528 - val_loss: 0.5095 - val_acc: 0.9247 Epoch 309/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.4178 - acc: 0.9562 - val_loss: 0.5078 - val_acc: 0.9272 Epoch 310/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.4143 - acc: 0.9540 - val_loss: 0.5075 - val_acc: 0.9279 Epoch 311/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.4027 - acc: 0.9576 - val_loss: 0.4964 - val_acc: 0.9266 Epoch 312/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3964 - acc: 0.9572 - val_loss: 0.4957 - val_acc: 0.9264 Epoch 313/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.3920 - acc: 0.9581 - val_loss: 0.4919 - val_acc: 0.9276 Epoch 314/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3829 - acc: 0.9602 - val_loss: 0.4879 - val_acc: 0.9271 Epoch 315/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3751 - acc: 0.9609 - val_loss: 0.4864 - val_acc: 0.9285 Epoch 316/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3736 - acc: 0.9605 - val_loss: 0.4832 - val_acc: 0.9264 Epoch 317/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3669 - acc: 0.9609 - val_loss: 0.4763 - val_acc: 0.9280 Epoch 318/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3610 - acc: 0.9625 - val_loss: 0.4739 - val_acc: 0.9295 Epoch 319/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3561 - acc: 0.9625 - val_loss: 0.4756 - val_acc: 0.9261 Epoch 320/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3481 - acc: 0.9651 - val_loss: 0.4765 - val_acc: 0.9231 Epoch 321/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3461 - acc: 0.9642 - val_loss: 0.4618 - val_acc: 0.9273 Epoch 322/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3402 - acc: 0.9651 - val_loss: 0.4673 - val_acc: 0.9279 Epoch 323/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3358 - acc: 0.9649 - val_loss: 0.4659 - val_acc: 0.9260 Epoch 324/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3332 - acc: 0.9652 - val_loss: 0.4602 - val_acc: 0.9262 Epoch 325/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3281 - acc: 0.9656 - val_loss: 0.4609 - val_acc: 0.9271 Epoch 326/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3319 - acc: 0.9644 - val_loss: 0.4555 - val_acc: 0.9273 Epoch 327/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.3191 - acc: 0.9671 - val_loss: 0.4475 - val_acc: 0.9287 Epoch 328/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3222 - acc: 0.9650 - val_loss: 0.4560 - val_acc: 0.9272 Epoch 329/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3150 - acc: 0.9675 - val_loss: 0.4516 - val_acc: 0.9292 Epoch 330/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3102 - acc: 0.9680 - val_loss: 0.4533 - val_acc: 0.9281 Epoch 331/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3094 - acc: 0.9679 - val_loss: 0.4549 - val_acc: 0.9222 Epoch 332/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3062 - acc: 0.9679 - val_loss: 0.4557 - val_acc: 0.9229 Epoch 333/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3038 - acc: 0.9678 - val_loss: 0.4443 - val_acc: 0.9241 Epoch 334/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.3034 - acc: 0.9676 - val_loss: 0.4446 - val_acc: 0.9273 Epoch 335/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2986 - acc: 0.9674 - val_loss: 0.4556 - val_acc: 0.9241 Epoch 336/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2977 - acc: 0.9674 - val_loss: 0.4528 - val_acc: 0.9221 Epoch 337/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2976 - acc: 0.9676 - val_loss: 0.4348 - val_acc: 0.9251 Epoch 338/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2919 - acc: 0.9681 - val_loss: 0.4443 - val_acc: 0.9257 Epoch 339/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2897 - acc: 0.9686 - val_loss: 0.4394 - val_acc: 0.9268 Epoch 340/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2899 - acc: 0.9677 - val_loss: 0.4362 - val_acc: 0.9242 Epoch 341/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2885 - acc: 0.9676 - val_loss: 0.4371 - val_acc: 0.9260 Epoch 342/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2882 - acc: 0.9666 - val_loss: 0.4329 - val_acc: 0.9273 Epoch 343/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2831 - acc: 0.9691 - val_loss: 0.4279 - val_acc: 0.9251 Epoch 344/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2797 - acc: 0.9696 - val_loss: 0.4268 - val_acc: 0.9300 Epoch 345/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2808 - acc: 0.9680 - val_loss: 0.4347 - val_acc: 0.9231 Epoch 346/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2763 - acc: 0.9685 - val_loss: 0.4229 - val_acc: 0.9263 Epoch 347/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2794 - acc: 0.9674 - val_loss: 0.4209 - val_acc: 0.9279 Epoch 348/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2775 - acc: 0.9677 - val_loss: 0.4179 - val_acc: 0.9279 Epoch 349/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2775 - acc: 0.9666 - val_loss: 0.4283 - val_acc: 0.9252 Epoch 350/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2705 - acc: 0.9694 - val_loss: 0.4257 - val_acc: 0.9267 Epoch 351/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2698 - acc: 0.9688 - val_loss: 0.4194 - val_acc: 0.9272 Epoch 352/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2742 - acc: 0.9669 - val_loss: 0.4204 - val_acc: 0.9251 Epoch 353/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2708 - acc: 0.9678 - val_loss: 0.4278 - val_acc: 0.9227 Epoch 354/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2641 - acc: 0.9700 - val_loss: 0.4187 - val_acc: 0.9258 Epoch 355/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2680 - acc: 0.9682 - val_loss: 0.4115 - val_acc: 0.9266 Epoch 356/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2677 - acc: 0.9680 - val_loss: 0.4070 - val_acc: 0.9281 Epoch 357/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2654 - acc: 0.9675 - val_loss: 0.4169 - val_acc: 0.9253 Epoch 358/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2636 - acc: 0.9689 - val_loss: 0.4240 - val_acc: 0.9237 Epoch 359/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2622 - acc: 0.9688 - val_loss: 0.4110 - val_acc: 0.9241 Epoch 360/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2617 - acc: 0.9683 - val_loss: 0.4199 - val_acc: 0.9248 Epoch 361/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2636 - acc: 0.9680 - val_loss: 0.4151 - val_acc: 0.9238 Epoch 362/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2633 - acc: 0.9681 - val_loss: 0.4191 - val_acc: 0.9250 Epoch 363/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2598 - acc: 0.9684 - val_loss: 0.4198 - val_acc: 0.9248 Epoch 364/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2661 - acc: 0.9662 - val_loss: 0.4069 - val_acc: 0.9247 Epoch 365/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2609 - acc: 0.9679 - val_loss: 0.4075 - val_acc: 0.9272 Epoch 366/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2582 - acc: 0.9687 - val_loss: 0.4166 - val_acc: 0.9203 Epoch 367/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2575 - acc: 0.9687 - val_loss: 0.4058 - val_acc: 0.9249 Epoch 368/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2561 - acc: 0.9683 - val_loss: 0.4184 - val_acc: 0.9247 Epoch 369/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2579 - acc: 0.9682 - val_loss: 0.4144 - val_acc: 0.9236 Epoch 370/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2592 - acc: 0.9667 - val_loss: 0.4194 - val_acc: 0.9241 Epoch 371/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2543 - acc: 0.9692 - val_loss: 0.4081 - val_acc: 0.9249 Epoch 372/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2597 - acc: 0.9671 - val_loss: 0.4138 - val_acc: 0.9219 Epoch 373/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2552 - acc: 0.9684 - val_loss: 0.4145 - val_acc: 0.9226 Epoch 374/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2534 - acc: 0.9684 - val_loss: 0.4122 - val_acc: 0.9208 Epoch 375/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2565 - acc: 0.9671 - val_loss: 0.4207 - val_acc: 0.9231 Epoch 376/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2560 - acc: 0.9679 - val_loss: 0.4072 - val_acc: 0.9245 Epoch 377/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2520 - acc: 0.9690 - val_loss: 0.4174 - val_acc: 0.9203 Epoch 378/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2475 - acc: 0.9707 - val_loss: 0.4153 - val_acc: 0.9220 Epoch 379/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2509 - acc: 0.9689 - val_loss: 0.4151 - val_acc: 0.9212 Epoch 380/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2524 - acc: 0.9679 - val_loss: 0.4146 - val_acc: 0.9212 Epoch 381/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2548 - acc: 0.9660 - val_loss: 0.4059 - val_acc: 0.9247 Epoch 382/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2508 - acc: 0.9681 - val_loss: 0.4116 - val_acc: 0.9234 Epoch 383/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2527 - acc: 0.9673 - val_loss: 0.4099 - val_acc: 0.9242 Epoch 384/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2537 - acc: 0.9671 - val_loss: 0.4170 - val_acc: 0.9234 Epoch 385/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2507 - acc: 0.9682 - val_loss: 0.4195 - val_acc: 0.9214 Epoch 386/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2476 - acc: 0.9685 - val_loss: 0.4252 - val_acc: 0.9194 Epoch 387/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2539 - acc: 0.9662 - val_loss: 0.3983 - val_acc: 0.9243 Epoch 388/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2452 - acc: 0.9702 - val_loss: 0.4037 - val_acc: 0.9254 Epoch 389/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2497 - acc: 0.9677 - val_loss: 0.4050 - val_acc: 0.9246 Epoch 390/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2488 - acc: 0.9684 - val_loss: 0.4110 - val_acc: 0.9244 Epoch 391/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2500 - acc: 0.9679 - val_loss: 0.3998 - val_acc: 0.9271 Epoch 392/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2469 - acc: 0.9688 - val_loss: 0.3995 - val_acc: 0.9249 Epoch 393/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2441 - acc: 0.9690 - val_loss: 0.3975 - val_acc: 0.9279 Epoch 394/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2480 - acc: 0.9677 - val_loss: 0.4131 - val_acc: 0.9196 Epoch 395/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2441 - acc: 0.9694 - val_loss: 0.4095 - val_acc: 0.9234 Epoch 396/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2450 - acc: 0.9687 - val_loss: 0.4173 - val_acc: 0.9194 Epoch 397/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2479 - acc: 0.9681 - val_loss: 0.4171 - val_acc: 0.9197 Epoch 398/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2482 - acc: 0.9680 - val_loss: 0.4106 - val_acc: 0.9225 Epoch 399/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2477 - acc: 0.9679 - val_loss: 0.4108 - val_acc: 0.9203 Epoch 400/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2479 - acc: 0.9676 - val_loss: 0.4103 - val_acc: 0.9228 Epoch 401/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2455 - acc: 0.9693 - val_loss: 0.3875 - val_acc: 0.9296 Epoch 402/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2398 - acc: 0.9705 - val_loss: 0.4030 - val_acc: 0.9228 Epoch 403/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2481 - acc: 0.9671 - val_loss: 0.4083 - val_acc: 0.9235 Epoch 404/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2477 - acc: 0.9678 - val_loss: 0.4027 - val_acc: 0.9252 Epoch 405/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2430 - acc: 0.9695 - val_loss: 0.4016 - val_acc: 0.9239 Epoch 406/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2424 - acc: 0.9694 - val_loss: 0.3946 - val_acc: 0.9249 Epoch 407/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2498 - acc: 0.9666 - val_loss: 0.3958 - val_acc: 0.9254 Epoch 408/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2443 - acc: 0.9698 - val_loss: 0.4007 - val_acc: 0.9269 Epoch 409/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2429 - acc: 0.9683 - val_loss: 0.4018 - val_acc: 0.9254 Epoch 410/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2456 - acc: 0.9674 - val_loss: 0.4122 - val_acc: 0.9227 Epoch 411/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2445 - acc: 0.9682 - val_loss: 0.4025 - val_acc: 0.9254 Epoch 412/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2431 - acc: 0.9688 - val_loss: 0.4082 - val_acc: 0.9237 Epoch 413/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2421 - acc: 0.9686 - val_loss: 0.4175 - val_acc: 0.9197 Epoch 414/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2415 - acc: 0.9689 - val_loss: 0.3930 - val_acc: 0.9255 Epoch 415/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2407 - acc: 0.9694 - val_loss: 0.4113 - val_acc: 0.9217 Epoch 416/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2435 - acc: 0.9686 - val_loss: 0.4052 - val_acc: 0.9223 Epoch 417/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2442 - acc: 0.9679 - val_loss: 0.4002 - val_acc: 0.9241 Epoch 418/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2467 - acc: 0.9674 - val_loss: 0.4084 - val_acc: 0.9196 Epoch 419/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2439 - acc: 0.9684 - val_loss: 0.3975 - val_acc: 0.9256 Epoch 420/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2430 - acc: 0.9683 - val_loss: 0.4092 - val_acc: 0.9239 Epoch 421/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2449 - acc: 0.9688 - val_loss: 0.3956 - val_acc: 0.9266 Epoch 422/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2418 - acc: 0.9697 - val_loss: 0.4028 - val_acc: 0.9240 Epoch 423/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2401 - acc: 0.9699 - val_loss: 0.3988 - val_acc: 0.9262 Epoch 424/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2458 - acc: 0.9681 - val_loss: 0.4053 - val_acc: 0.9250 Epoch 425/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2430 - acc: 0.9680 - val_loss: 0.4036 - val_acc: 0.9250 Epoch 426/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2395 - acc: 0.9707 - val_loss: 0.4153 - val_acc: 0.9214 Epoch 427/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2418 - acc: 0.9685 - val_loss: 0.3988 - val_acc: 0.9228 Epoch 428/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2398 - acc: 0.9700 - val_loss: 0.4010 - val_acc: 0.9220 Epoch 429/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2403 - acc: 0.9689 - val_loss: 0.4244 - val_acc: 0.9217 Epoch 430/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2401 - acc: 0.9699 - val_loss: 0.4080 - val_acc: 0.9219 Epoch 431/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2396 - acc: 0.9697 - val_loss: 0.4115 - val_acc: 0.9228 Epoch 432/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2377 - acc: 0.9701 - val_loss: 0.4160 - val_acc: 0.9213 Epoch 433/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2421 - acc: 0.9695 - val_loss: 0.4148 - val_acc: 0.9194 Epoch 434/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2434 - acc: 0.9673 - val_loss: 0.3980 - val_acc: 0.9237 Epoch 435/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2424 - acc: 0.9684 - val_loss: 0.4023 - val_acc: 0.9244 Epoch 436/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2381 - acc: 0.9709 - val_loss: 0.4095 - val_acc: 0.9226 Epoch 437/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2396 - acc: 0.9693 - val_loss: 0.4163 - val_acc: 0.9203 Epoch 438/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2402 - acc: 0.9705 - val_loss: 0.4132 - val_acc: 0.9238 Epoch 439/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2438 - acc: 0.9680 - val_loss: 0.3906 - val_acc: 0.9241 Epoch 440/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2397 - acc: 0.9693 - val_loss: 0.4234 - val_acc: 0.9196 Epoch 441/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2375 - acc: 0.9711 - val_loss: 0.4293 - val_acc: 0.9188 Epoch 442/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2426 - acc: 0.9686 - val_loss: 0.4058 - val_acc: 0.9251 Epoch 443/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2379 - acc: 0.9702 - val_loss: 0.4145 - val_acc: 0.9219 Epoch 444/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2380 - acc: 0.9700 - val_loss: 0.4110 - val_acc: 0.9220 Epoch 445/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2422 - acc: 0.9687 - val_loss: 0.4167 - val_acc: 0.9196 Epoch 446/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2377 - acc: 0.9704 - val_loss: 0.4142 - val_acc: 0.9210 Epoch 447/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2416 - acc: 0.9693 - val_loss: 0.4345 - val_acc: 0.9182 Epoch 448/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2391 - acc: 0.9697 - val_loss: 0.4147 - val_acc: 0.9183 Epoch 449/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2430 - acc: 0.9689 - val_loss: 0.4005 - val_acc: 0.9244 Epoch 450/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2355 - acc: 0.9723 - val_loss: 0.4060 - val_acc: 0.9227 Epoch 451/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2394 - acc: 0.9703 - val_loss: 0.4118 - val_acc: 0.9211 Epoch 452/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2414 - acc: 0.9693 - val_loss: 0.4259 - val_acc: 0.9164 Epoch 453/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2396 - acc: 0.9692 - val_loss: 0.4066 - val_acc: 0.9222 Epoch 454/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2350 - acc: 0.9719 - val_loss: 0.4075 - val_acc: 0.9230 Epoch 455/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2413 - acc: 0.9689 - val_loss: 0.4108 - val_acc: 0.9243 Epoch 456/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2395 - acc: 0.9693 - val_loss: 0.4073 - val_acc: 0.9250 Epoch 457/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2358 - acc: 0.9712 - val_loss: 0.4161 - val_acc: 0.9190 Epoch 458/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2421 - acc: 0.9683 - val_loss: 0.4241 - val_acc: 0.9206 Epoch 459/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2355 - acc: 0.9716 - val_loss: 0.4126 - val_acc: 0.9227 Epoch 460/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2400 - acc: 0.9693 - val_loss: 0.4049 - val_acc: 0.9265 Epoch 461/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2399 - acc: 0.9693 - val_loss: 0.4189 - val_acc: 0.9211 Epoch 462/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2379 - acc: 0.9702 - val_loss: 0.4231 - val_acc: 0.9208 Epoch 463/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2396 - acc: 0.9698 - val_loss: 0.4090 - val_acc: 0.9235 Epoch 464/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2397 - acc: 0.9697 - val_loss: 0.4038 - val_acc: 0.9222 Epoch 465/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2342 - acc: 0.9712 - val_loss: 0.4142 - val_acc: 0.9227 Epoch 466/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2382 - acc: 0.9701 - val_loss: 0.4094 - val_acc: 0.9234 Epoch 467/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2360 - acc: 0.9700 - val_loss: 0.4124 - val_acc: 0.9226 Epoch 468/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2389 - acc: 0.9705 - val_loss: 0.4078 - val_acc: 0.9220 Epoch 469/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2373 - acc: 0.9699 - val_loss: 0.4281 - val_acc: 0.9173 Epoch 470/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2374 - acc: 0.9704 - val_loss: 0.4177 - val_acc: 0.9204 Epoch 471/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2364 - acc: 0.9706 - val_loss: 0.4229 - val_acc: 0.9195 Epoch 472/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2364 - acc: 0.9714 - val_loss: 0.4244 - val_acc: 0.9211 Epoch 473/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2388 - acc: 0.9699 - val_loss: 0.4305 - val_acc: 0.9172 Epoch 474/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2430 - acc: 0.9682 - val_loss: 0.4226 - val_acc: 0.9210 Epoch 475/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2354 - acc: 0.9710 - val_loss: 0.4126 - val_acc: 0.9228 Epoch 476/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2367 - acc: 0.9712 - val_loss: 0.4025 - val_acc: 0.9233 Epoch 477/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2336 - acc: 0.9718 - val_loss: 0.4095 - val_acc: 0.9234 Epoch 478/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2340 - acc: 0.9718 - val_loss: 0.4111 - val_acc: 0.9221 Epoch 479/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2370 - acc: 0.9705 - val_loss: 0.4098 - val_acc: 0.9244 Epoch 480/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2328 - acc: 0.9716 - val_loss: 0.4158 - val_acc: 0.9218 Epoch 481/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2376 - acc: 0.9699 - val_loss: 0.4071 - val_acc: 0.9233 Epoch 482/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2321 - acc: 0.9723 - val_loss: 0.4196 - val_acc: 0.9189 Epoch 483/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2338 - acc: 0.9711 - val_loss: 0.4137 - val_acc: 0.9225 Epoch 484/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2386 - acc: 0.9701 - val_loss: 0.4217 - val_acc: 0.9221 Epoch 485/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2357 - acc: 0.9710 - val_loss: 0.4136 - val_acc: 0.9218 Epoch 486/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2318 - acc: 0.9722 - val_loss: 0.4171 - val_acc: 0.9244 Epoch 487/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2363 - acc: 0.9712 - val_loss: 0.4089 - val_acc: 0.9238 Epoch 488/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2331 - acc: 0.9718 - val_loss: 0.4166 - val_acc: 0.9204 Epoch 489/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2356 - acc: 0.9710 - val_loss: 0.4235 - val_acc: 0.9176 Epoch 490/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2378 - acc: 0.9703 - val_loss: 0.4219 - val_acc: 0.9181 Epoch 491/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2328 - acc: 0.9719 - val_loss: 0.4155 - val_acc: 0.9193 Epoch 492/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2383 - acc: 0.9704 - val_loss: 0.4239 - val_acc: 0.9155 Epoch 493/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2378 - acc: 0.9706 - val_loss: 0.4188 - val_acc: 0.9201 Epoch 494/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2382 - acc: 0.9703 - val_loss: 0.4345 - val_acc: 0.9146 Epoch 495/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2361 - acc: 0.9711 - val_loss: 0.4021 - val_acc: 0.9232 Epoch 496/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2340 - acc: 0.9715 - val_loss: 0.3926 - val_acc: 0.9261 Epoch 497/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2329 - acc: 0.9713 - val_loss: 0.4149 - val_acc: 0.9240 Epoch 498/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2341 - acc: 0.9720 - val_loss: 0.4011 - val_acc: 0.9264 Epoch 499/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2347 - acc: 0.9712 - val_loss: 0.4159 - val_acc: 0.9236 Epoch 500/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2324 - acc: 0.9720 - val_loss: 0.4138 - val_acc: 0.9224 Epoch 501/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2404 - acc: 0.9701 - val_loss: 0.4152 - val_acc: 0.9203 Epoch 502/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2336 - acc: 0.9722 - val_loss: 0.4060 - val_acc: 0.9232 Epoch 503/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2326 - acc: 0.9722 - val_loss: 0.4203 - val_acc: 0.9226 Epoch 504/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2327 - acc: 0.9723 - val_loss: 0.3970 - val_acc: 0.9248 Epoch 505/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2359 - acc: 0.9712 - val_loss: 0.4126 - val_acc: 0.9225 Epoch 506/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2359 - acc: 0.9709 - val_loss: 0.4207 - val_acc: 0.9207 Epoch 507/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2371 - acc: 0.9705 - val_loss: 0.4107 - val_acc: 0.9211 Epoch 508/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2331 - acc: 0.9718 - val_loss: 0.4265 - val_acc: 0.9212 Epoch 509/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2347 - acc: 0.9711 - val_loss: 0.4060 - val_acc: 0.9215 Epoch 510/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2328 - acc: 0.9721 - val_loss: 0.4034 - val_acc: 0.9230 Epoch 511/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2316 - acc: 0.9736 - val_loss: 0.4106 - val_acc: 0.9231 Epoch 512/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2362 - acc: 0.9707 - val_loss: 0.4202 - val_acc: 0.9233 Epoch 513/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2326 - acc: 0.9722 - val_loss: 0.4282 - val_acc: 0.9188 Epoch 514/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2326 - acc: 0.9715 - val_loss: 0.4212 - val_acc: 0.9205 Epoch 515/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2339 - acc: 0.9716 - val_loss: 0.4212 - val_acc: 0.9207 Epoch 516/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2367 - acc: 0.9707 - val_loss: 0.4151 - val_acc: 0.9217 Epoch 517/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2326 - acc: 0.9725 - val_loss: 0.4187 - val_acc: 0.9236 Epoch 518/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2319 - acc: 0.9721 - val_loss: 0.4063 - val_acc: 0.9271 Epoch 519/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2311 - acc: 0.9721 - val_loss: 0.4197 - val_acc: 0.9219 Epoch 520/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2323 - acc: 0.9733 - val_loss: 0.4269 - val_acc: 0.9199 Epoch 521/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2308 - acc: 0.9727 - val_loss: 0.4213 - val_acc: 0.9216 Epoch 522/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2303 - acc: 0.9727 - val_loss: 0.4194 - val_acc: 0.9197 Epoch 523/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2326 - acc: 0.9732 - val_loss: 0.4451 - val_acc: 0.9136 Epoch 524/1000 500/500 [==============================] - 145s 289ms/step - loss: 0.2355 - acc: 0.9709 - val_loss: 0.4226 - val_acc: 0.9205 Epoch 525/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2371 - acc: 0.9706 - val_loss: 0.4219 - val_acc: 0.9207 Epoch 526/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2326 - acc: 0.9716 - val_loss: 0.4229 - val_acc: 0.9219 Epoch 527/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2303 - acc: 0.9728 - val_loss: 0.4218 - val_acc: 0.9224 Epoch 528/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2336 - acc: 0.9722 - val_loss: 0.4278 - val_acc: 0.9166 Epoch 529/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2314 - acc: 0.9732 - val_loss: 0.4116 - val_acc: 0.9241 Epoch 530/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.2334 - acc: 0.9717 - val_loss: 0.4208 - val_acc: 0.9202 Epoch 531/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2307 - acc: 0.9724 - val_loss: 0.4264 - val_acc: 0.9214 Epoch 532/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2347 - acc: 0.9712 - val_loss: 0.4253 - val_acc: 0.9213 Epoch 533/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2318 - acc: 0.9730 - val_loss: 0.4152 - val_acc: 0.9239 Epoch 534/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2376 - acc: 0.9710 - val_loss: 0.4279 - val_acc: 0.9204 Epoch 535/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2320 - acc: 0.9725 - val_loss: 0.4242 - val_acc: 0.9180 Epoch 536/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2344 - acc: 0.9713 - val_loss: 0.4106 - val_acc: 0.9234 Epoch 537/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2350 - acc: 0.9710 - val_loss: 0.4169 - val_acc: 0.9216 Epoch 538/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2355 - acc: 0.9712 - val_loss: 0.4265 - val_acc: 0.9223 Epoch 539/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2333 - acc: 0.9719 - val_loss: 0.4132 - val_acc: 0.9220 Epoch 540/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2294 - acc: 0.9734 - val_loss: 0.4203 - val_acc: 0.9245 Epoch 541/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2343 - acc: 0.9715 - val_loss: 0.4176 - val_acc: 0.9236 Epoch 542/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2330 - acc: 0.9723 - val_loss: 0.4146 - val_acc: 0.9241 Epoch 543/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.2361 - acc: 0.9706 - val_loss: 0.4125 - val_acc: 0.9213 ... Epoch 625/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1622 - acc: 0.9958 - val_loss: 0.3749 - val_acc: 0.9375 Epoch 626/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1605 - acc: 0.9963 - val_loss: 0.3746 - val_acc: 0.9394 Epoch 627/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1602 - acc: 0.9965 - val_loss: 0.3739 - val_acc: 0.9374 Epoch 628/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1606 - acc: 0.9961 - val_loss: 0.3766 - val_acc: 0.9380 Epoch 629/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1595 - acc: 0.9965 - val_loss: 0.3731 - val_acc: 0.9393 Epoch 630/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1594 - acc: 0.9962 - val_loss: 0.3737 - val_acc: 0.9386 Epoch 631/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1597 - acc: 0.9959 - val_loss: 0.3722 - val_acc: 0.9387 Epoch 632/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1591 - acc: 0.9963 - val_loss: 0.3730 - val_acc: 0.9386 Epoch 633/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1596 - acc: 0.9957 - val_loss: 0.3735 - val_acc: 0.9373 Epoch 634/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1577 - acc: 0.9967 - val_loss: 0.3752 - val_acc: 0.9371 Epoch 635/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1569 - acc: 0.9967 - val_loss: 0.3753 - val_acc: 0.9372 Epoch 636/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1567 - acc: 0.9967 - val_loss: 0.3760 - val_acc: 0.9372 Epoch 637/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1580 - acc: 0.9961 - val_loss: 0.3750 - val_acc: 0.9388 Epoch 638/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1564 - acc: 0.9968 - val_loss: 0.3765 - val_acc: 0.9394 Epoch 639/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1562 - acc: 0.9966 - val_loss: 0.3753 - val_acc: 0.9370 Epoch 640/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1560 - acc: 0.9967 - val_loss: 0.3772 - val_acc: 0.9362 Epoch 641/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1555 - acc: 0.9969 - val_loss: 0.3766 - val_acc: 0.9370 Epoch 642/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1544 - acc: 0.9973 - val_loss: 0.3756 - val_acc: 0.9390 Epoch 643/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1548 - acc: 0.9964 - val_loss: 0.3749 - val_acc: 0.9384 Epoch 644/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1541 - acc: 0.9969 - val_loss: 0.3741 - val_acc: 0.9375 Epoch 645/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1539 - acc: 0.9967 - val_loss: 0.3731 - val_acc: 0.9396 Epoch 646/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1526 - acc: 0.9973 - val_loss: 0.3739 - val_acc: 0.9387 Epoch 647/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1531 - acc: 0.9970 - val_loss: 0.3740 - val_acc: 0.9380 Epoch 648/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1535 - acc: 0.9967 - val_loss: 0.3743 - val_acc: 0.9390 Epoch 649/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1531 - acc: 0.9966 - val_loss: 0.3761 - val_acc: 0.9387 Epoch 650/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1512 - acc: 0.9976 - val_loss: 0.3743 - val_acc: 0.9388 Epoch 651/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1521 - acc: 0.9969 - val_loss: 0.3741 - val_acc: 0.9382 Epoch 652/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1522 - acc: 0.9969 - val_loss: 0.3747 - val_acc: 0.9381 Epoch 653/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1510 - acc: 0.9972 - val_loss: 0.3752 - val_acc: 0.9390 Epoch 654/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1503 - acc: 0.9974 - val_loss: 0.3745 - val_acc: 0.9377 Epoch 655/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1500 - acc: 0.9976 - val_loss: 0.3761 - val_acc: 0.9377 Epoch 656/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1500 - acc: 0.9974 - val_loss: 0.3752 - val_acc: 0.9377 Epoch 657/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1502 - acc: 0.9973 - val_loss: 0.3767 - val_acc: 0.9375 Epoch 658/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1490 - acc: 0.9974 - val_loss: 0.3744 - val_acc: 0.9397 Epoch 659/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1498 - acc: 0.9969 - val_loss: 0.3783 - val_acc: 0.9377 Epoch 660/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1486 - acc: 0.9973 - val_loss: 0.3764 - val_acc: 0.9377 Epoch 661/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1485 - acc: 0.9975 - val_loss: 0.3745 - val_acc: 0.9394 Epoch 662/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1481 - acc: 0.9975 - val_loss: 0.3750 - val_acc: 0.9385 Epoch 663/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1487 - acc: 0.9971 - val_loss: 0.3776 - val_acc: 0.9378 Epoch 664/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1483 - acc: 0.9972 - val_loss: 0.3758 - val_acc: 0.9400 Epoch 665/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1477 - acc: 0.9974 - val_loss: 0.3741 - val_acc: 0.9387 Epoch 666/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1471 - acc: 0.9974 - val_loss: 0.3771 - val_acc: 0.9392 Epoch 667/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1468 - acc: 0.9978 - val_loss: 0.3773 - val_acc: 0.9384 Epoch 668/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1465 - acc: 0.9975 - val_loss: 0.3782 - val_acc: 0.9388 Epoch 669/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1459 - acc: 0.9977 - val_loss: 0.3796 - val_acc: 0.9372 Epoch 670/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1462 - acc: 0.9973 - val_loss: 0.3774 - val_acc: 0.9377 Epoch 671/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1467 - acc: 0.9968 - val_loss: 0.3788 - val_acc: 0.9375 Epoch 672/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1465 - acc: 0.9972 - val_loss: 0.3784 - val_acc: 0.9373 Epoch 673/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1457 - acc: 0.9975 - val_loss: 0.3771 - val_acc: 0.9372 Epoch 674/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1445 - acc: 0.9977 - val_loss: 0.3774 - val_acc: 0.9372 Epoch 675/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1444 - acc: 0.9974 - val_loss: 0.3748 - val_acc: 0.9373 Epoch 676/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1447 - acc: 0.9973 - val_loss: 0.3768 - val_acc: 0.9374 Epoch 677/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1437 - acc: 0.9978 - val_loss: 0.3752 - val_acc: 0.9376 Epoch 678/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1439 - acc: 0.9974 - val_loss: 0.3731 - val_acc: 0.9394 Epoch 679/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1437 - acc: 0.9974 - val_loss: 0.3730 - val_acc: 0.9378 Epoch 680/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1433 - acc: 0.9978 - val_loss: 0.3761 - val_acc: 0.9368 Epoch 681/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1433 - acc: 0.9976 - val_loss: 0.3764 - val_acc: 0.9380 Epoch 682/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1427 - acc: 0.9976 - val_loss: 0.3746 - val_acc: 0.9372 Epoch 683/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1427 - acc: 0.9978 - val_loss: 0.3752 - val_acc: 0.9378 Epoch 684/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1424 - acc: 0.9976 - val_loss: 0.3754 - val_acc: 0.9380 Epoch 685/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1420 - acc: 0.9975 - val_loss: 0.3767 - val_acc: 0.9384 Epoch 686/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1410 - acc: 0.9980 - val_loss: 0.3773 - val_acc: 0.9378 Epoch 687/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1424 - acc: 0.9972 - val_loss: 0.3741 - val_acc: 0.9375 Epoch 688/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1417 - acc: 0.9975 - val_loss: 0.3757 - val_acc: 0.9377 Epoch 689/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1412 - acc: 0.9975 - val_loss: 0.3760 - val_acc: 0.9365 Epoch 690/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1414 - acc: 0.9974 - val_loss: 0.3730 - val_acc: 0.9389 Epoch 691/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1405 - acc: 0.9979 - val_loss: 0.3722 - val_acc: 0.9392 Epoch 692/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1409 - acc: 0.9975 - val_loss: 0.3744 - val_acc: 0.9375 Epoch 693/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1396 - acc: 0.9980 - val_loss: 0.3718 - val_acc: 0.9382 Epoch 694/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1393 - acc: 0.9979 - val_loss: 0.3700 - val_acc: 0.9390 Epoch 695/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1394 - acc: 0.9976 - val_loss: 0.3728 - val_acc: 0.9377 Epoch 696/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1402 - acc: 0.9973 - val_loss: 0.3712 - val_acc: 0.9389 Epoch 697/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1391 - acc: 0.9976 - val_loss: 0.3726 - val_acc: 0.9397 Epoch 698/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1384 - acc: 0.9981 - val_loss: 0.3763 - val_acc: 0.9380 Epoch 699/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1394 - acc: 0.9973 - val_loss: 0.3747 - val_acc: 0.9371 Epoch 700/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1379 - acc: 0.9979 - val_loss: 0.3742 - val_acc: 0.9378 Epoch 701/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1387 - acc: 0.9976 - val_loss: 0.3741 - val_acc: 0.9381 Epoch 702/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1364 - acc: 0.9985 - val_loss: 0.3757 - val_acc: 0.9368 Epoch 703/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1375 - acc: 0.9979 - val_loss: 0.3767 - val_acc: 0.9373 Epoch 704/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1375 - acc: 0.9978 - val_loss: 0.3762 - val_acc: 0.9356 Epoch 705/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1371 - acc: 0.9978 - val_loss: 0.3759 - val_acc: 0.9377 Epoch 706/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1361 - acc: 0.9981 - val_loss: 0.3754 - val_acc: 0.9365 Epoch 707/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1364 - acc: 0.9980 - val_loss: 0.3760 - val_acc: 0.9364 Epoch 708/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1369 - acc: 0.9979 - val_loss: 0.3796 - val_acc: 0.9354 Epoch 709/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1353 - acc: 0.9983 - val_loss: 0.3767 - val_acc: 0.9372 Epoch 710/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1353 - acc: 0.9979 - val_loss: 0.3761 - val_acc: 0.9369 Epoch 711/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1355 - acc: 0.9975 - val_loss: 0.3745 - val_acc: 0.9371 Epoch 712/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1349 - acc: 0.9979 - val_loss: 0.3757 - val_acc: 0.9381 Epoch 713/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1357 - acc: 0.9974 - val_loss: 0.3736 - val_acc: 0.9376 Epoch 714/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1346 - acc: 0.9980 - val_loss: 0.3713 - val_acc: 0.9382 Epoch 715/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1344 - acc: 0.9981 - val_loss: 0.3730 - val_acc: 0.9370 Epoch 716/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1349 - acc: 0.9976 - val_loss: 0.3744 - val_acc: 0.9373 Epoch 717/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1345 - acc: 0.9978 - val_loss: 0.3762 - val_acc: 0.9376 Epoch 718/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1341 - acc: 0.9979 - val_loss: 0.3763 - val_acc: 0.9367 Epoch 719/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1332 - acc: 0.9980 - val_loss: 0.3766 - val_acc: 0.9369 Epoch 720/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1337 - acc: 0.9977 - val_loss: 0.3768 - val_acc: 0.9358 Epoch 721/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1334 - acc: 0.9979 - val_loss: 0.3752 - val_acc: 0.9369 Epoch 722/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1335 - acc: 0.9980 - val_loss: 0.3741 - val_acc: 0.9371 Epoch 723/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1330 - acc: 0.9978 - val_loss: 0.3769 - val_acc: 0.9371 Epoch 724/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1325 - acc: 0.9980 - val_loss: 0.3739 - val_acc: 0.9376 Epoch 725/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1329 - acc: 0.9978 - val_loss: 0.3740 - val_acc: 0.9370 Epoch 726/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1320 - acc: 0.9981 - val_loss: 0.3712 - val_acc: 0.9378 Epoch 727/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1317 - acc: 0.9981 - val_loss: 0.3757 - val_acc: 0.9372 Epoch 728/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1322 - acc: 0.9978 - val_loss: 0.3732 - val_acc: 0.9371 Epoch 729/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1311 - acc: 0.9980 - val_loss: 0.3724 - val_acc: 0.9382 Epoch 730/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1308 - acc: 0.9983 - val_loss: 0.3736 - val_acc: 0.9376 Epoch 731/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1315 - acc: 0.9977 - val_loss: 0.3738 - val_acc: 0.9367 Epoch 732/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1309 - acc: 0.9980 - val_loss: 0.3719 - val_acc: 0.9366 Epoch 733/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1307 - acc: 0.9980 - val_loss: 0.3720 - val_acc: 0.9359 Epoch 734/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1303 - acc: 0.9979 - val_loss: 0.3731 - val_acc: 0.9372 Epoch 735/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1301 - acc: 0.9980 - val_loss: 0.3740 - val_acc: 0.9377 Epoch 736/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1299 - acc: 0.9978 - val_loss: 0.3787 - val_acc: 0.9347 Epoch 737/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1298 - acc: 0.9982 - val_loss: 0.3759 - val_acc: 0.9362 Epoch 738/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1295 - acc: 0.9981 - val_loss: 0.3709 - val_acc: 0.9367 Epoch 739/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1286 - acc: 0.9982 - val_loss: 0.3690 - val_acc: 0.9372 Epoch 740/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1285 - acc: 0.9982 - val_loss: 0.3702 - val_acc: 0.9383 Epoch 741/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1285 - acc: 0.9980 - val_loss: 0.3719 - val_acc: 0.9361 Epoch 742/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1284 - acc: 0.9982 - val_loss: 0.3706 - val_acc: 0.9364 Epoch 743/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1285 - acc: 0.9979 - val_loss: 0.3701 - val_acc: 0.9378 Epoch 744/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1279 - acc: 0.9981 - val_loss: 0.3700 - val_acc: 0.9388 Epoch 745/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1282 - acc: 0.9981 - val_loss: 0.3676 - val_acc: 0.9377 Epoch 746/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1277 - acc: 0.9982 - val_loss: 0.3677 - val_acc: 0.9374 Epoch 747/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1271 - acc: 0.9985 - val_loss: 0.3677 - val_acc: 0.9381 Epoch 748/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1276 - acc: 0.9981 - val_loss: 0.3673 - val_acc: 0.9364 Epoch 749/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1279 - acc: 0.9980 - val_loss: 0.3675 - val_acc: 0.9376 Epoch 750/1000 500/500 [==============================] - 142s 283ms/step - loss: 0.1272 - acc: 0.9981 - val_loss: 0.3681 - val_acc: 0.9364 Epoch 751/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1271 - acc: 0.9981 - val_loss: 0.3691 - val_acc: 0.9367 Epoch 752/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1263 - acc: 0.9982 - val_loss: 0.3699 - val_acc: 0.9375 Epoch 753/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1268 - acc: 0.9977 - val_loss: 0.3701 - val_acc: 0.9377 Epoch 754/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1260 - acc: 0.9982 - val_loss: 0.3704 - val_acc: 0.9373 Epoch 755/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1262 - acc: 0.9982 - val_loss: 0.3683 - val_acc: 0.9372 Epoch 756/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1255 - acc: 0.9981 - val_loss: 0.3719 - val_acc: 0.9356 Epoch 757/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1260 - acc: 0.9980 - val_loss: 0.3687 - val_acc: 0.9375 Epoch 758/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1254 - acc: 0.9981 - val_loss: 0.3693 - val_acc: 0.9358 Epoch 759/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1253 - acc: 0.9981 - val_loss: 0.3683 - val_acc: 0.9369 Epoch 760/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1243 - acc: 0.9985 - val_loss: 0.3685 - val_acc: 0.9376 Epoch 761/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1247 - acc: 0.9981 - val_loss: 0.3696 - val_acc: 0.9365 Epoch 762/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1244 - acc: 0.9983 - val_loss: 0.3696 - val_acc: 0.9369 Epoch 763/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1242 - acc: 0.9982 - val_loss: 0.3724 - val_acc: 0.9347 Epoch 764/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1241 - acc: 0.9980 - val_loss: 0.3725 - val_acc: 0.9364 Epoch 765/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1238 - acc: 0.9982 - val_loss: 0.3690 - val_acc: 0.9357 Epoch 766/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1235 - acc: 0.9982 - val_loss: 0.3696 - val_acc: 0.9359 Epoch 767/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1233 - acc: 0.9981 - val_loss: 0.3674 - val_acc: 0.9363 Epoch 768/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1234 - acc: 0.9982 - val_loss: 0.3718 - val_acc: 0.9368 Epoch 769/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1231 - acc: 0.9983 - val_loss: 0.3718 - val_acc: 0.9360 Epoch 770/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1233 - acc: 0.9979 - val_loss: 0.3731 - val_acc: 0.9368 Epoch 771/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1231 - acc: 0.9980 - val_loss: 0.3706 - val_acc: 0.9373 Epoch 772/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1221 - acc: 0.9984 - val_loss: 0.3691 - val_acc: 0.9377 Epoch 773/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1216 - acc: 0.9985 - val_loss: 0.3688 - val_acc: 0.9373 Epoch 774/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1210 - acc: 0.9987 - val_loss: 0.3698 - val_acc: 0.9375 Epoch 775/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1219 - acc: 0.9979 - val_loss: 0.3696 - val_acc: 0.9366 Epoch 776/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1216 - acc: 0.9983 - val_loss: 0.3698 - val_acc: 0.9357 Epoch 777/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1210 - acc: 0.9984 - val_loss: 0.3698 - val_acc: 0.9363 Epoch 778/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1208 - acc: 0.9983 - val_loss: 0.3673 - val_acc: 0.9359 Epoch 779/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1206 - acc: 0.9985 - val_loss: 0.3668 - val_acc: 0.9376 Epoch 780/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1200 - acc: 0.9984 - val_loss: 0.3681 - val_acc: 0.9370 Epoch 781/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1203 - acc: 0.9983 - val_loss: 0.3701 - val_acc: 0.9367 Epoch 782/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1202 - acc: 0.9983 - val_loss: 0.3698 - val_acc: 0.9359 Epoch 783/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1201 - acc: 0.9982 - val_loss: 0.3724 - val_acc: 0.9352 Epoch 784/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1201 - acc: 0.9984 - val_loss: 0.3728 - val_acc: 0.9343 Epoch 785/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1206 - acc: 0.9978 - val_loss: 0.3730 - val_acc: 0.9349 Epoch 786/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1193 - acc: 0.9984 - val_loss: 0.3713 - val_acc: 0.9347 Epoch 787/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1201 - acc: 0.9979 - val_loss: 0.3714 - val_acc: 0.9358 Epoch 788/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1193 - acc: 0.9980 - val_loss: 0.3703 - val_acc: 0.9365 Epoch 789/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1187 - acc: 0.9984 - val_loss: 0.3708 - val_acc: 0.9368 Epoch 790/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1194 - acc: 0.9980 - val_loss: 0.3703 - val_acc: 0.9375 Epoch 791/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1177 - acc: 0.9987 - val_loss: 0.3681 - val_acc: 0.9377 Epoch 792/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1179 - acc: 0.9984 - val_loss: 0.3682 - val_acc: 0.9370 Epoch 793/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1179 - acc: 0.9983 - val_loss: 0.3711 - val_acc: 0.9355 Epoch 794/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1182 - acc: 0.9982 - val_loss: 0.3668 - val_acc: 0.9362 Epoch 795/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1183 - acc: 0.9981 - val_loss: 0.3707 - val_acc: 0.9352 Epoch 796/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1186 - acc: 0.9980 - val_loss: 0.3671 - val_acc: 0.9361 Epoch 797/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1171 - acc: 0.9984 - val_loss: 0.3665 - val_acc: 0.9379 Epoch 798/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1165 - acc: 0.9986 - val_loss: 0.3655 - val_acc: 0.9385 Epoch 799/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1174 - acc: 0.9983 - val_loss: 0.3666 - val_acc: 0.9375 Epoch 800/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1174 - acc: 0.9981 - val_loss: 0.3658 - val_acc: 0.9376 Epoch 801/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1170 - acc: 0.9984 - val_loss: 0.3665 - val_acc: 0.9370 Epoch 802/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1168 - acc: 0.9983 - val_loss: 0.3628 - val_acc: 0.9372 Epoch 803/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1166 - acc: 0.9983 - val_loss: 0.3635 - val_acc: 0.9363 Epoch 804/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1165 - acc: 0.9984 - val_loss: 0.3641 - val_acc: 0.9360 Epoch 805/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1154 - acc: 0.9986 - val_loss: 0.3625 - val_acc: 0.9372 Epoch 806/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1155 - acc: 0.9984 - val_loss: 0.3613 - val_acc: 0.9360 Epoch 807/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1150 - acc: 0.9985 - val_loss: 0.3618 - val_acc: 0.9376 Epoch 808/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1166 - acc: 0.9977 - val_loss: 0.3603 - val_acc: 0.9372 Epoch 809/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1155 - acc: 0.9984 - val_loss: 0.3633 - val_acc: 0.9376 Epoch 810/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1155 - acc: 0.9983 - val_loss: 0.3663 - val_acc: 0.9369 Epoch 811/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1153 - acc: 0.9982 - val_loss: 0.3666 - val_acc: 0.9363 Epoch 812/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1147 - acc: 0.9983 - val_loss: 0.3655 - val_acc: 0.9364 Epoch 813/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1145 - acc: 0.9982 - val_loss: 0.3645 - val_acc: 0.9364 Epoch 814/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1154 - acc: 0.9980 - val_loss: 0.3657 - val_acc: 0.9365 Epoch 815/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1143 - acc: 0.9984 - val_loss: 0.3623 - val_acc: 0.9364 Epoch 816/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1141 - acc: 0.9984 - val_loss: 0.3667 - val_acc: 0.9346 Epoch 817/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1135 - acc: 0.9985 - val_loss: 0.3642 - val_acc: 0.9360 Epoch 818/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1139 - acc: 0.9984 - val_loss: 0.3668 - val_acc: 0.9372 Epoch 819/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1134 - acc: 0.9984 - val_loss: 0.3660 - val_acc: 0.9355 Epoch 820/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1142 - acc: 0.9982 - val_loss: 0.3617 - val_acc: 0.9382 Epoch 821/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1137 - acc: 0.9983 - val_loss: 0.3626 - val_acc: 0.9367 Epoch 822/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1137 - acc: 0.9980 - val_loss: 0.3590 - val_acc: 0.9385 Epoch 823/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1131 - acc: 0.9982 - val_loss: 0.3635 - val_acc: 0.9376 Epoch 824/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1129 - acc: 0.9984 - val_loss: 0.3691 - val_acc: 0.9359 Epoch 825/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1126 - acc: 0.9983 - val_loss: 0.3665 - val_acc: 0.9359 Epoch 826/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1121 - acc: 0.9985 - val_loss: 0.3605 - val_acc: 0.9380 Epoch 827/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1126 - acc: 0.9980 - val_loss: 0.3643 - val_acc: 0.9355 Epoch 828/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1122 - acc: 0.9983 - val_loss: 0.3616 - val_acc: 0.9373 Epoch 829/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1117 - acc: 0.9983 - val_loss: 0.3638 - val_acc: 0.9364 Epoch 830/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1118 - acc: 0.9981 - val_loss: 0.3647 - val_acc: 0.9374 Epoch 831/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1124 - acc: 0.9980 - val_loss: 0.3629 - val_acc: 0.9372 Epoch 832/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1112 - acc: 0.9985 - val_loss: 0.3607 - val_acc: 0.9373 Epoch 833/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1112 - acc: 0.9983 - val_loss: 0.3597 - val_acc: 0.9385 Epoch 834/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1109 - acc: 0.9983 - val_loss: 0.3595 - val_acc: 0.9381 Epoch 835/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1106 - acc: 0.9985 - val_loss: 0.3649 - val_acc: 0.9375 Epoch 836/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1103 - acc: 0.9987 - val_loss: 0.3626 - val_acc: 0.9379 Epoch 837/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1105 - acc: 0.9983 - val_loss: 0.3630 - val_acc: 0.9374 Epoch 838/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1099 - acc: 0.9987 - val_loss: 0.3635 - val_acc: 0.9368 Epoch 839/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1108 - acc: 0.9982 - val_loss: 0.3660 - val_acc: 0.9368 Epoch 840/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1100 - acc: 0.9984 - val_loss: 0.3637 - val_acc: 0.9384 Epoch 841/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1095 - acc: 0.9986 - val_loss: 0.3633 - val_acc: 0.9363 Epoch 842/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1097 - acc: 0.9983 - val_loss: 0.3632 - val_acc: 0.9357 Epoch 843/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1100 - acc: 0.9983 - val_loss: 0.3618 - val_acc: 0.9363 Epoch 844/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1100 - acc: 0.9983 - val_loss: 0.3676 - val_acc: 0.9338 Epoch 845/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1089 - acc: 0.9984 - val_loss: 0.3644 - val_acc: 0.9357 Epoch 846/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1089 - acc: 0.9986 - val_loss: 0.3687 - val_acc: 0.9344 Epoch 847/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1088 - acc: 0.9985 - val_loss: 0.3663 - val_acc: 0.9360 Epoch 848/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1094 - acc: 0.9983 - val_loss: 0.3619 - val_acc: 0.9357 Epoch 849/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1088 - acc: 0.9983 - val_loss: 0.3542 - val_acc: 0.9374 Epoch 850/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1083 - acc: 0.9984 - val_loss: 0.3562 - val_acc: 0.9367 Epoch 851/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1086 - acc: 0.9982 - val_loss: 0.3532 - val_acc: 0.9376 Epoch 852/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1080 - acc: 0.9983 - val_loss: 0.3531 - val_acc: 0.9373 Epoch 853/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1073 - acc: 0.9987 - val_loss: 0.3527 - val_acc: 0.9369 Epoch 854/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1081 - acc: 0.9983 - val_loss: 0.3563 - val_acc: 0.9374 Epoch 855/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1080 - acc: 0.9983 - val_loss: 0.3541 - val_acc: 0.9381 Epoch 856/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1068 - acc: 0.9987 - val_loss: 0.3541 - val_acc: 0.9384 Epoch 857/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1074 - acc: 0.9985 - val_loss: 0.3577 - val_acc: 0.9374 Epoch 858/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1071 - acc: 0.9986 - val_loss: 0.3582 - val_acc: 0.9359 Epoch 859/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1063 - acc: 0.9985 - val_loss: 0.3612 - val_acc: 0.9359 Epoch 860/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1060 - acc: 0.9988 - val_loss: 0.3581 - val_acc: 0.9376 Epoch 861/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1070 - acc: 0.9982 - val_loss: 0.3575 - val_acc: 0.9367 Epoch 862/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1074 - acc: 0.9980 - val_loss: 0.3581 - val_acc: 0.9357 Epoch 863/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1070 - acc: 0.9982 - val_loss: 0.3527 - val_acc: 0.9374 Epoch 864/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1063 - acc: 0.9984 - val_loss: 0.3543 - val_acc: 0.9374 Epoch 865/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1057 - acc: 0.9986 - val_loss: 0.3533 - val_acc: 0.9377 Epoch 866/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1062 - acc: 0.9978 - val_loss: 0.3545 - val_acc: 0.9369 Epoch 867/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1054 - acc: 0.9984 - val_loss: 0.3542 - val_acc: 0.9355 Epoch 868/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1060 - acc: 0.9983 - val_loss: 0.3482 - val_acc: 0.9394 Epoch 869/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1054 - acc: 0.9984 - val_loss: 0.3560 - val_acc: 0.9375 Epoch 870/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1064 - acc: 0.9978 - val_loss: 0.3537 - val_acc: 0.9370 Epoch 871/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1050 - acc: 0.9984 - val_loss: 0.3555 - val_acc: 0.9374 Epoch 872/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1049 - acc: 0.9985 - val_loss: 0.3539 - val_acc: 0.9367 Epoch 873/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1050 - acc: 0.9984 - val_loss: 0.3574 - val_acc: 0.9373 Epoch 874/1000 500/500 [==============================] - 143s 285ms/step - loss: 0.1044 - acc: 0.9987 - val_loss: 0.3623 - val_acc: 0.9359 Epoch 875/1000 500/500 [==============================] - 142s 283ms/step - loss: 0.1048 - acc: 0.9982 - val_loss: 0.3600 - val_acc: 0.9370 Epoch 876/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1051 - acc: 0.9982 - val_loss: 0.3594 - val_acc: 0.9366 Epoch 877/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1042 - acc: 0.9985 - val_loss: 0.3558 - val_acc: 0.9357 Epoch 878/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1046 - acc: 0.9982 - val_loss: 0.3549 - val_acc: 0.9360 Epoch 879/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1042 - acc: 0.9984 - val_loss: 0.3520 - val_acc: 0.9385 Epoch 880/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1040 - acc: 0.9984 - val_loss: 0.3598 - val_acc: 0.9367 Epoch 881/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1036 - acc: 0.9984 - val_loss: 0.3550 - val_acc: 0.9364 Epoch 882/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1031 - acc: 0.9985 - val_loss: 0.3544 - val_acc: 0.9381 Epoch 883/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1042 - acc: 0.9981 - val_loss: 0.3513 - val_acc: 0.9380 Epoch 884/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1036 - acc: 0.9982 - val_loss: 0.3541 - val_acc: 0.9364 Epoch 885/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1033 - acc: 0.9985 - val_loss: 0.3532 - val_acc: 0.9376 Epoch 886/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1032 - acc: 0.9981 - val_loss: 0.3566 - val_acc: 0.9376 Epoch 887/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1033 - acc: 0.9981 - val_loss: 0.3518 - val_acc: 0.9368 Epoch 888/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1020 - acc: 0.9987 - val_loss: 0.3521 - val_acc: 0.9378 Epoch 889/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1020 - acc: 0.9984 - val_loss: 0.3524 - val_acc: 0.9368 Epoch 890/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1024 - acc: 0.9983 - val_loss: 0.3523 - val_acc: 0.9364 Epoch 891/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1029 - acc: 0.9983 - val_loss: 0.3582 - val_acc: 0.9355 Epoch 892/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1018 - acc: 0.9984 - val_loss: 0.3555 - val_acc: 0.9365 Epoch 893/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1021 - acc: 0.9985 - val_loss: 0.3559 - val_acc: 0.9367 Epoch 894/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1026 - acc: 0.9977 - val_loss: 0.3563 - val_acc: 0.9360 Epoch 895/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1027 - acc: 0.9980 - val_loss: 0.3575 - val_acc: 0.9365 Epoch 896/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1023 - acc: 0.9980 - val_loss: 0.3541 - val_acc: 0.9375 Epoch 897/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1016 - acc: 0.9982 - val_loss: 0.3518 - val_acc: 0.9372 Epoch 898/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1018 - acc: 0.9979 - val_loss: 0.3473 - val_acc: 0.9372 Epoch 899/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1014 - acc: 0.9986 - val_loss: 0.3507 - val_acc: 0.9376 Epoch 900/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1010 - acc: 0.9985 - val_loss: 0.3568 - val_acc: 0.9366 Epoch 901/1000 lr changed to 9.999999310821295e-05 500/500 [==============================] - 142s 284ms/step - loss: 0.1014 - acc: 0.9982 - val_loss: 0.3548 - val_acc: 0.9366 Epoch 902/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1009 - acc: 0.9983 - val_loss: 0.3535 - val_acc: 0.9372 Epoch 903/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1008 - acc: 0.9981 - val_loss: 0.3523 - val_acc: 0.9370 Epoch 904/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1002 - acc: 0.9986 - val_loss: 0.3526 - val_acc: 0.9375 Epoch 905/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.1000 - acc: 0.9987 - val_loss: 0.3519 - val_acc: 0.9372 Epoch 906/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0997 - acc: 0.9989 - val_loss: 0.3520 - val_acc: 0.9374 Epoch 907/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0999 - acc: 0.9989 - val_loss: 0.3520 - val_acc: 0.9377 Epoch 908/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0994 - acc: 0.9989 - val_loss: 0.3518 - val_acc: 0.9376 Epoch 909/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0991 - acc: 0.9990 - val_loss: 0.3520 - val_acc: 0.9378 Epoch 910/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0996 - acc: 0.9988 - val_loss: 0.3515 - val_acc: 0.9375 Epoch 911/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0990 - acc: 0.9990 - val_loss: 0.3513 - val_acc: 0.9372 Epoch 912/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0994 - acc: 0.9987 - val_loss: 0.3508 - val_acc: 0.9371 Epoch 913/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0997 - acc: 0.9988 - val_loss: 0.3510 - val_acc: 0.9373 Epoch 914/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0996 - acc: 0.9989 - val_loss: 0.3509 - val_acc: 0.9374 Epoch 915/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.1001 - acc: 0.9986 - val_loss: 0.3513 - val_acc: 0.9375 Epoch 916/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0991 - acc: 0.9990 - val_loss: 0.3508 - val_acc: 0.9388 Epoch 917/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0987 - acc: 0.9989 - val_loss: 0.3512 - val_acc: 0.9377 Epoch 918/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0990 - acc: 0.9988 - val_loss: 0.3510 - val_acc: 0.9381 Epoch 919/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0997 - acc: 0.9986 - val_loss: 0.3515 - val_acc: 0.9380 Epoch 920/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0993 - acc: 0.9987 - val_loss: 0.3519 - val_acc: 0.9379 Epoch 921/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0988 - acc: 0.9990 - val_loss: 0.3508 - val_acc: 0.9375 Epoch 922/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0993 - acc: 0.9988 - val_loss: 0.3497 - val_acc: 0.9376 Epoch 923/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0990 - acc: 0.9988 - val_loss: 0.3492 - val_acc: 0.9385 Epoch 924/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0993 - acc: 0.9988 - val_loss: 0.3494 - val_acc: 0.9384 Epoch 925/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0988 - acc: 0.9988 - val_loss: 0.3494 - val_acc: 0.9382 Epoch 926/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0992 - acc: 0.9988 - val_loss: 0.3499 - val_acc: 0.9383 Epoch 927/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0985 - acc: 0.9990 - val_loss: 0.3499 - val_acc: 0.9385 Epoch 928/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0989 - acc: 0.9987 - val_loss: 0.3495 - val_acc: 0.9379 Epoch 929/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0987 - acc: 0.9991 - val_loss: 0.3494 - val_acc: 0.9385 Epoch 930/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0984 - acc: 0.9991 - val_loss: 0.3492 - val_acc: 0.9384 Epoch 931/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0991 - acc: 0.9987 - val_loss: 0.3492 - val_acc: 0.9388 Epoch 932/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0989 - acc: 0.9987 - val_loss: 0.3485 - val_acc: 0.9387 Epoch 933/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0993 - acc: 0.9988 - val_loss: 0.3481 - val_acc: 0.9386 Epoch 934/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0985 - acc: 0.9990 - val_loss: 0.3490 - val_acc: 0.9385 Epoch 935/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0988 - acc: 0.9988 - val_loss: 0.3496 - val_acc: 0.9385 Epoch 936/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0988 - acc: 0.9989 - val_loss: 0.3499 - val_acc: 0.9391 Epoch 937/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0986 - acc: 0.9989 - val_loss: 0.3497 - val_acc: 0.9388 Epoch 938/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0987 - acc: 0.9990 - val_loss: 0.3500 - val_acc: 0.9391 Epoch 939/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0988 - acc: 0.9988 - val_loss: 0.3499 - val_acc: 0.9392 Epoch 940/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0981 - acc: 0.9992 - val_loss: 0.3502 - val_acc: 0.9386 Epoch 941/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0987 - acc: 0.9989 - val_loss: 0.3503 - val_acc: 0.9387 Epoch 942/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0983 - acc: 0.9991 - val_loss: 0.3505 - val_acc: 0.9388 Epoch 943/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0989 - acc: 0.9988 - val_loss: 0.3499 - val_acc: 0.9389 Epoch 944/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0988 - acc: 0.9989 - val_loss: 0.3498 - val_acc: 0.9385 Epoch 945/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0981 - acc: 0.9991 - val_loss: 0.3495 - val_acc: 0.9390 Epoch 946/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0984 - acc: 0.9989 - val_loss: 0.3492 - val_acc: 0.9387 Epoch 947/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0983 - acc: 0.9991 - val_loss: 0.3493 - val_acc: 0.9390 Epoch 948/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0987 - acc: 0.9988 - val_loss: 0.3498 - val_acc: 0.9396 Epoch 949/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0986 - acc: 0.9988 - val_loss: 0.3496 - val_acc: 0.9394 Epoch 950/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0984 - acc: 0.9990 - val_loss: 0.3494 - val_acc: 0.9393 Epoch 951/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0981 - acc: 0.9991 - val_loss: 0.3497 - val_acc: 0.9390 Epoch 952/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0977 - acc: 0.9992 - val_loss: 0.3498 - val_acc: 0.9389 Epoch 953/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0980 - acc: 0.9990 - val_loss: 0.3501 - val_acc: 0.9383 Epoch 954/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0987 - acc: 0.9987 - val_loss: 0.3498 - val_acc: 0.9385 Epoch 955/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0981 - acc: 0.9990 - val_loss: 0.3498 - val_acc: 0.9385 Epoch 956/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0981 - acc: 0.9990 - val_loss: 0.3497 - val_acc: 0.9385 Epoch 957/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0981 - acc: 0.9990 - val_loss: 0.3490 - val_acc: 0.9392 Epoch 958/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0978 - acc: 0.9993 - val_loss: 0.3493 - val_acc: 0.9387 Epoch 959/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0981 - acc: 0.9990 - val_loss: 0.3505 - val_acc: 0.9391 Epoch 960/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0978 - acc: 0.9991 - val_loss: 0.3499 - val_acc: 0.9388 Epoch 961/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0982 - acc: 0.9990 - val_loss: 0.3498 - val_acc: 0.9388 Epoch 962/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0987 - acc: 0.9988 - val_loss: 0.3504 - val_acc: 0.9384 Epoch 963/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0982 - acc: 0.9990 - val_loss: 0.3505 - val_acc: 0.9390 Epoch 964/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0975 - acc: 0.9992 - val_loss: 0.3499 - val_acc: 0.9385 Epoch 965/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0981 - acc: 0.9990 - val_loss: 0.3496 - val_acc: 0.9390 Epoch 966/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0983 - acc: 0.9991 - val_loss: 0.3491 - val_acc: 0.9394 Epoch 967/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0982 - acc: 0.9989 - val_loss: 0.3495 - val_acc: 0.9388 Epoch 968/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0975 - acc: 0.9993 - val_loss: 0.3495 - val_acc: 0.9394 Epoch 969/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0977 - acc: 0.9990 - val_loss: 0.3502 - val_acc: 0.9387 Epoch 970/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0982 - acc: 0.9987 - val_loss: 0.3500 - val_acc: 0.9392 Epoch 971/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0984 - acc: 0.9988 - val_loss: 0.3498 - val_acc: 0.9385 Epoch 972/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0977 - acc: 0.9991 - val_loss: 0.3492 - val_acc: 0.9385 Epoch 973/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0976 - acc: 0.9991 - val_loss: 0.3496 - val_acc: 0.9391 Epoch 974/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0982 - acc: 0.9987 - val_loss: 0.3496 - val_acc: 0.9386 Epoch 975/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0980 - acc: 0.9989 - val_loss: 0.3503 - val_acc: 0.9385 Epoch 976/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0978 - acc: 0.9990 - val_loss: 0.3510 - val_acc: 0.9384 Epoch 977/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0979 - acc: 0.9991 - val_loss: 0.3508 - val_acc: 0.9387 Epoch 978/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0982 - acc: 0.9988 - val_loss: 0.3512 - val_acc: 0.9381 Epoch 979/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0974 - acc: 0.9992 - val_loss: 0.3508 - val_acc: 0.9384 Epoch 980/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0980 - acc: 0.9987 - val_loss: 0.3509 - val_acc: 0.9380 Epoch 981/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0976 - acc: 0.9992 - val_loss: 0.3507 - val_acc: 0.9382 Epoch 982/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0977 - acc: 0.9990 - val_loss: 0.3512 - val_acc: 0.9391 Epoch 983/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0978 - acc: 0.9988 - val_loss: 0.3503 - val_acc: 0.9389 Epoch 984/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.0975 - acc: 0.9991 - val_loss: 0.3503 - val_acc: 0.9383 Epoch 985/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0977 - acc: 0.9989 - val_loss: 0.3497 - val_acc: 0.9388 Epoch 986/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0977 - acc: 0.9990 - val_loss: 0.3498 - val_acc: 0.9390 Epoch 987/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0972 - acc: 0.9992 - val_loss: 0.3502 - val_acc: 0.9382 Epoch 988/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0973 - acc: 0.9991 - val_loss: 0.3506 - val_acc: 0.9391 Epoch 989/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0977 - acc: 0.9989 - val_loss: 0.3504 - val_acc: 0.9396 Epoch 990/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0978 - acc: 0.9990 - val_loss: 0.3502 - val_acc: 0.9393 Epoch 991/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0976 - acc: 0.9988 - val_loss: 0.3501 - val_acc: 0.9391 Epoch 992/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0973 - acc: 0.9992 - val_loss: 0.3500 - val_acc: 0.9386 Epoch 993/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0970 - acc: 0.9992 - val_loss: 0.3497 - val_acc: 0.9387 Epoch 994/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0973 - acc: 0.9990 - val_loss: 0.3499 - val_acc: 0.9391 Epoch 995/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0978 - acc: 0.9988 - val_loss: 0.3500 - val_acc: 0.9397 Epoch 996/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0975 - acc: 0.9991 - val_loss: 0.3500 - val_acc: 0.9392 Epoch 997/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0975 - acc: 0.9990 - val_loss: 0.3495 - val_acc: 0.9393 Epoch 998/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.0980 - acc: 0.9988 - val_loss: 0.3498 - val_acc: 0.9386 Epoch 999/1000 500/500 [==============================] - 142s 284ms/step - loss: 0.0976 - acc: 0.9991 - val_loss: 0.3490 - val_acc: 0.9382 Epoch 1000/1000 500/500 [==============================] - 142s 285ms/step - loss: 0.0974 - acc: 0.9990 - val_loss: 0.3497 - val_acc: 0.9385 Train loss: 0.09523774388432503 Train accuracy: 0.9995200004577637 Test loss: 0.34968149244785307 Test accuracy: 0.938500000834465
准确率略有提升，但是这是以残差模块的数量翻了一倍为代价的，运算时间长了很多，似乎没有必要这么多层。
本身网络就比较复杂了，还有那么多层，也加大了训练难度。
Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Shaojiang Dong, Michael Pecht, Deep Residual Networks with Adaptively Parametric Rectifier Linear Units for Fault Diagnosis, IEEE Transactions on Industrial Electronics, 2020, DOI: 10.1109/TIE.2020.2972458
https://ieeexplore.ieee.org/d...
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版权声明：本文为CSDN博主「dangqing1988」的原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接及本声明。
原文链接：https://blog.csdn.net/dangqin...
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