【哈工大版】Dynamic ReLU：自适应参数化ReLU（调参记录25）Cifar10~95.77%
2020/6/3 16:26:36
本文主要是介绍【哈工大版】Dynamic ReLU：自适应参数化ReLU（调参记录25）Cifar10~95.77%，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！
本文介绍哈工大团队提出的一种动态ReLU（Dynamic ReLU）激活函数，即自适应参数化ReLU激活函数，原本是应用在基于一维振动信号的故障诊断，能够让每个样本有自己独特的ReLU参数，在2019年5月3日投稿至IEEE Transactions on Industrial Electronics，2020年1月24日录用，2020年2月13日在IEEE官网公布。
在之前调参记录的基础上，首先，大幅度削减了自适应参数化ReLU中全连接神经元的个数，想着可以减轻训练的难度，也可以减少过拟合；然后，将Epoch增加到1000个，继续测试ResNet+自适应参数化ReLU激活函数在Cifar10上的效果。
自适应参数化ReLU激活函数的基本原理如下：
Keras程序：
#!/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, DOI: 10.1109/TIE.2020.2972458,
Date of Publication: 13 February 2020
@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, Lambda
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)
def cal_mean(inputs):
outputs = K.mean(inputs, axis=1, keepdims=True)
return outputs
# The data, split between train and test sets
(x_train, y_train), (x_test, y_test) = cifar10.load_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 = Lambda(cal_mean)(GlobalAveragePooling2D()(pos_input))
scales_n = Lambda(cal_mean)(GlobalAveragePooling2D()(neg_input))
scales = Concatenate()([scales_n, scales_p])
scales = Dense(2, 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(1, 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((1,1,1))(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(64, 3, padding='same', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(inputs)
net = residual_block(net, 20, 64, downsample=False)
net = residual_block(net, 1, 128, downsample=True)
net = residual_block(net, 19, 128, downsample=False)
net = residual_block(net, 1, 256, downsample=True)
net = residual_block(net, 19, 256, downsample=False)
net = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(net)
net = aprelu(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,
# Range for random zoom
zoom_range = 0.2,
# 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：
Using TensorFlow backend. x_train shape: (50000, 32, 32, 3) 50000 train samples 10000 test samples Epoch 1/1000 413s 826ms/step - loss: 6.7483 - acc: 0.3694 - val_loss: 5.9301 - val_acc: 0.4997 Epoch 2/1000 330s 659ms/step - loss: 5.5312 - acc: 0.4941 - val_loss: 4.9301 - val_acc: 0.5792 Epoch 3/1000 330s 659ms/step - loss: 4.6439 - acc: 0.5593 - val_loss: 4.0912 - val_acc: 0.6487 Epoch 4/1000 329s 659ms/step - loss: 3.9263 - acc: 0.6101 - val_loss: 3.4891 - val_acc: 0.6778 Epoch 5/1000 329s 659ms/step - loss: 3.3595 - acc: 0.6415 - val_loss: 2.9574 - val_acc: 0.7220 Epoch 6/1000 334s 668ms/step - loss: 2.8985 - acc: 0.6704 - val_loss: 2.5622 - val_acc: 0.7322 Epoch 7/1000 330s 660ms/step - loss: 2.5229 - acc: 0.6917 - val_loss: 2.2063 - val_acc: 0.7612 Epoch 8/1000 329s 659ms/step - loss: 2.2063 - acc: 0.7167 - val_loss: 1.9074 - val_acc: 0.7861 Epoch 9/1000 329s 659ms/step - loss: 1.9480 - acc: 0.7339 - val_loss: 1.6790 - val_acc: 0.8023 Epoch 10/1000 330s 659ms/step - loss: 1.7331 - acc: 0.7527 - val_loss: 1.5017 - val_acc: 0.8113 Epoch 11/1000 330s 659ms/step - loss: 1.5656 - acc: 0.7652 - val_loss: 1.3648 - val_acc: 0.8174 Epoch 12/1000 330s 659ms/step - loss: 1.4253 - acc: 0.7756 - val_loss: 1.2259 - val_acc: 0.8327 Epoch 13/1000 329s 659ms/step - loss: 1.3032 - acc: 0.7877 - val_loss: 1.1070 - val_acc: 0.8442 Epoch 14/1000 330s 659ms/step - loss: 1.2136 - acc: 0.7941 - val_loss: 1.0533 - val_acc: 0.8408 Epoch 15/1000 329s 659ms/step - loss: 1.1363 - acc: 0.8009 - val_loss: 0.9825 - val_acc: 0.8517 Epoch 16/1000 331s 661ms/step - loss: 1.0679 - acc: 0.8111 - val_loss: 0.9233 - val_acc: 0.8563 Epoch 17/1000 330s 660ms/step - loss: 1.0143 - acc: 0.8168 - val_loss: 0.8913 - val_acc: 0.8569 Epoch 18/1000 330s 660ms/step - loss: 0.9731 - acc: 0.8215 - val_loss: 0.8578 - val_acc: 0.8561 Epoch 19/1000 330s 660ms/step - loss: 0.9397 - acc: 0.8261 - val_loss: 0.8226 - val_acc: 0.8675 Epoch 20/1000 330s 659ms/step - loss: 0.9073 - acc: 0.8301 - val_loss: 0.7973 - val_acc: 0.8697 Epoch 21/1000 329s 659ms/step - loss: 0.8823 - acc: 0.8342 - val_loss: 0.7837 - val_acc: 0.8693 Epoch 22/1000 331s 662ms/step - loss: 0.8688 - acc: 0.8369 - val_loss: 0.7693 - val_acc: 0.8736 Epoch 23/1000 332s 665ms/step - loss: 0.8479 - acc: 0.8425 - val_loss: 0.7626 - val_acc: 0.8730 Epoch 24/1000 329s 659ms/step - loss: 0.8329 - acc: 0.8453 - val_loss: 0.7745 - val_acc: 0.8671 Epoch 25/1000 330s 660ms/step - loss: 0.8271 - acc: 0.8462 - val_loss: 0.7271 - val_acc: 0.8833 Epoch 26/1000 331s 661ms/step - loss: 0.8121 - acc: 0.8516 - val_loss: 0.7155 - val_acc: 0.8883 Epoch 27/1000 330s 659ms/step - loss: 0.8008 - acc: 0.8543 - val_loss: 0.7522 - val_acc: 0.8707 Epoch 28/1000 330s 659ms/step - loss: 0.7959 - acc: 0.8558 - val_loss: 0.7200 - val_acc: 0.8799 Epoch 29/1000 329s 659ms/step - loss: 0.7937 - acc: 0.8563 - val_loss: 0.7196 - val_acc: 0.8855 Epoch 30/1000 329s 659ms/step - loss: 0.7843 - acc: 0.8602 - val_loss: 0.7285 - val_acc: 0.8808 Epoch 31/1000 330s 659ms/step - loss: 0.7791 - acc: 0.8606 - val_loss: 0.7120 - val_acc: 0.8879 Epoch 32/1000 329s 658ms/step - loss: 0.7781 - acc: 0.8612 - val_loss: 0.7139 - val_acc: 0.8840 Epoch 33/1000 329s 659ms/step - loss: 0.7650 - acc: 0.8660 - val_loss: 0.7243 - val_acc: 0.8814 Epoch 34/1000 329s 658ms/step - loss: 0.7686 - acc: 0.8669 - val_loss: 0.7223 - val_acc: 0.8811 Epoch 35/1000 329s 659ms/step - loss: 0.7694 - acc: 0.8662 - val_loss: 0.6995 - val_acc: 0.8938 Epoch 36/1000 329s 659ms/step - loss: 0.7618 - acc: 0.8679 - val_loss: 0.7032 - val_acc: 0.8919 Epoch 37/1000 329s 658ms/step - loss: 0.7542 - acc: 0.8709 - val_loss: 0.7115 - val_acc: 0.8868 Epoch 38/1000 329s 659ms/step - loss: 0.7525 - acc: 0.8719 - val_loss: 0.7282 - val_acc: 0.8791 Epoch 39/1000 329s 658ms/step - loss: 0.7528 - acc: 0.8727 - val_loss: 0.7046 - val_acc: 0.8898 Epoch 40/1000 329s 658ms/step - loss: 0.7476 - acc: 0.8748 - val_loss: 0.7071 - val_acc: 0.8927 Epoch 41/1000 329s 659ms/step - loss: 0.7429 - acc: 0.8762 - val_loss: 0.7195 - val_acc: 0.8852 Epoch 42/1000 329s 658ms/step - loss: 0.7487 - acc: 0.8758 - val_loss: 0.7064 - val_acc: 0.8936 Epoch 43/1000 329s 658ms/step - loss: 0.7423 - acc: 0.8769 - val_loss: 0.6941 - val_acc: 0.8959 Epoch 44/1000 330s 660ms/step - loss: 0.7357 - acc: 0.8802 - val_loss: 0.7097 - val_acc: 0.8921 Epoch 45/1000 329s 659ms/step - loss: 0.7385 - acc: 0.8796 - val_loss: 0.6845 - val_acc: 0.8997 Epoch 46/1000 332s 664ms/step - loss: 0.7331 - acc: 0.8821 - val_loss: 0.7265 - val_acc: 0.8870 Epoch 47/1000 329s 658ms/step - loss: 0.7358 - acc: 0.8804 - val_loss: 0.7062 - val_acc: 0.8947 Epoch 48/1000 329s 658ms/step - loss: 0.7357 - acc: 0.8812 - val_loss: 0.7007 - val_acc: 0.8932 Epoch 49/1000 329s 658ms/step - loss: 0.7338 - acc: 0.8832 - val_loss: 0.6983 - val_acc: 0.8989 Epoch 50/1000 330s 659ms/step - loss: 0.7268 - acc: 0.8852 - val_loss: 0.7136 - val_acc: 0.8940 Epoch 51/1000 329s 659ms/step - loss: 0.7327 - acc: 0.8845 - val_loss: 0.7076 - val_acc: 0.8957 Epoch 52/1000 329s 658ms/step - loss: 0.7255 - acc: 0.8858 - val_loss: 0.6909 - val_acc: 0.8995 Epoch 53/1000 329s 658ms/step - loss: 0.7298 - acc: 0.8860 - val_loss: 0.7088 - val_acc: 0.8956 Epoch 54/1000 331s 661ms/step - loss: 0.7237 - acc: 0.8884 - val_loss: 0.7069 - val_acc: 0.8960 Epoch 55/1000 329s 659ms/step - loss: 0.7288 - acc: 0.8863 - val_loss: 0.6929 - val_acc: 0.8984 Epoch 56/1000 329s 658ms/step - loss: 0.7208 - acc: 0.8890 - val_loss: 0.6925 - val_acc: 0.9017 Epoch 57/1000 330s 659ms/step - loss: 0.7187 - acc: 0.8898 - val_loss: 0.7150 - val_acc: 0.8944 Epoch 58/1000 330s 659ms/step - loss: 0.7148 - acc: 0.8920 - val_loss: 0.6766 - val_acc: 0.9060 Epoch 59/1000 329s 659ms/step - loss: 0.7185 - acc: 0.8905 - val_loss: 0.7031 - val_acc: 0.8951 Epoch 60/1000 329s 658ms/step - loss: 0.7192 - acc: 0.8904 - val_loss: 0.6956 - val_acc: 0.9020 Epoch 61/1000 329s 659ms/step - loss: 0.7209 - acc: 0.8895 - val_loss: 0.6967 - val_acc: 0.8997 Epoch 62/1000 329s 658ms/step - loss: 0.7083 - acc: 0.8936 - val_loss: 0.6806 - val_acc: 0.9048 Epoch 63/1000 329s 658ms/step - loss: 0.7123 - acc: 0.8926 - val_loss: 0.6832 - val_acc: 0.9042 Epoch 64/1000 329s 658ms/step - loss: 0.7085 - acc: 0.8939 - val_loss: 0.7000 - val_acc: 0.8973 Epoch 65/1000 330s 660ms/step - loss: 0.7049 - acc: 0.8963 - val_loss: 0.6993 - val_acc: 0.8969 Epoch 66/1000 330s 660ms/step - loss: 0.7062 - acc: 0.8950 - val_loss: 0.6977 - val_acc: 0.9044 Epoch 67/1000 329s 659ms/step - loss: 0.7127 - acc: 0.8938 - val_loss: 0.7069 - val_acc: 0.8977 Epoch 68/1000 329s 657ms/step - loss: 0.7010 - acc: 0.8960 - val_loss: 0.7052 - val_acc: 0.8994 Epoch 69/1000 329s 658ms/step - loss: 0.7096 - acc: 0.8934 - val_loss: 0.6982 - val_acc: 0.9027 Epoch 70/1000 329s 658ms/step - loss: 0.7118 - acc: 0.8947 - val_loss: 0.6850 - val_acc: 0.9053 Epoch 71/1000 329s 658ms/step - loss: 0.7076 - acc: 0.8953 - val_loss: 0.6798 - val_acc: 0.9053 Epoch 72/1000 329s 658ms/step - loss: 0.6998 - acc: 0.8981 - val_loss: 0.7312 - val_acc: 0.8905 Epoch 73/1000 329s 658ms/step - loss: 0.7049 - acc: 0.8969 - val_loss: 0.7042 - val_acc: 0.8996 Epoch 74/1000 329s 658ms/step - loss: 0.7094 - acc: 0.8959 - val_loss: 0.6987 - val_acc: 0.9020 Epoch 75/1000 329s 658ms/step - loss: 0.7045 - acc: 0.8963 - val_loss: 0.6909 - val_acc: 0.9056 Epoch 76/1000 329s 658ms/step - loss: 0.7028 - acc: 0.8980 - val_loss: 0.7257 - val_acc: 0.8918 Epoch 77/1000 329s 657ms/step - loss: 0.7059 - acc: 0.8956 - val_loss: 0.6813 - val_acc: 0.9097 Epoch 78/1000 329s 658ms/step - loss: 0.6996 - acc: 0.9006 - val_loss: 0.6942 - val_acc: 0.9081 Epoch 79/1000 329s 658ms/step - loss: 0.6988 - acc: 0.8996 - val_loss: 0.6801 - val_acc: 0.9059 Epoch 80/1000 329s 657ms/step - loss: 0.6983 - acc: 0.8990 - val_loss: 0.6759 - val_acc: 0.9081 Epoch 81/1000 329s 658ms/step - loss: 0.6968 - acc: 0.9012 - val_loss: 0.6868 - val_acc: 0.9052 Epoch 82/1000 329s 658ms/step - loss: 0.6976 - acc: 0.9000 - val_loss: 0.6945 - val_acc: 0.9028 Epoch 83/1000 329s 658ms/step - loss: 0.6974 - acc: 0.8999 - val_loss: 0.7020 - val_acc: 0.9010 Epoch 84/1000 329s 658ms/step - loss: 0.6984 - acc: 0.9003 - val_loss: 0.7220 - val_acc: 0.8956 Epoch 85/1000 329s 658ms/step - loss: 0.7054 - acc: 0.8974 - val_loss: 0.6846 - val_acc: 0.9082 Epoch 86/1000 329s 657ms/step - loss: 0.6974 - acc: 0.9005 - val_loss: 0.6880 - val_acc: 0.9085 Epoch 87/1000 329s 658ms/step - loss: 0.6989 - acc: 0.8998 - val_loss: 0.6956 - val_acc: 0.9035 Epoch 88/1000 329s 658ms/step - loss: 0.7002 - acc: 0.8998 - val_loss: 0.6852 - val_acc: 0.9056 Epoch 89/1000 329s 657ms/step - loss: 0.7005 - acc: 0.9004 - val_loss: 0.6891 - val_acc: 0.9077 Epoch 90/1000 329s 658ms/step - loss: 0.6945 - acc: 0.9030 - val_loss: 0.6880 - val_acc: 0.9071 Epoch 91/1000 329s 658ms/step - loss: 0.6999 - acc: 0.9011 - val_loss: 0.6868 - val_acc: 0.9064 Epoch 92/1000 329s 658ms/step - loss: 0.6976 - acc: 0.9028 - val_loss: 0.6964 - val_acc: 0.9022 Epoch 93/1000 329s 658ms/step - loss: 0.6923 - acc: 0.9045 - val_loss: 0.6712 - val_acc: 0.9126 Epoch 94/1000 329s 657ms/step - loss: 0.6981 - acc: 0.9020 - val_loss: 0.6813 - val_acc: 0.9084 Epoch 95/1000 329s 657ms/step - loss: 0.6952 - acc: 0.9029 - val_loss: 0.6713 - val_acc: 0.9135 Epoch 96/1000 329s 657ms/step - loss: 0.6958 - acc: 0.9032 - val_loss: 0.6835 - val_acc: 0.9084 Epoch 97/1000 329s 657ms/step - loss: 0.6889 - acc: 0.9045 - val_loss: 0.6818 - val_acc: 0.9053 Epoch 98/1000 329s 657ms/step - loss: 0.6997 - acc: 0.9009 - val_loss: 0.6886 - val_acc: 0.9075 Epoch 99/1000 329s 657ms/step - loss: 0.6948 - acc: 0.9029 - val_loss: 0.6872 - val_acc: 0.9057 Epoch 100/1000 329s 657ms/step - loss: 0.6925 - acc: 0.9044 - val_loss: 0.6992 - val_acc: 0.9051 Epoch 101/1000 329s 657ms/step - loss: 0.6948 - acc: 0.9033 - val_loss: 0.7153 - val_acc: 0.8990 Epoch 102/1000 328s 657ms/step - loss: 0.6998 - acc: 0.9025 - val_loss: 0.6735 - val_acc: 0.9155 Epoch 103/1000 329s 657ms/step - loss: 0.6931 - acc: 0.9037 - val_loss: 0.6907 - val_acc: 0.9052 Epoch 104/1000 329s 657ms/step - loss: 0.6941 - acc: 0.9048 - val_loss: 0.7109 - val_acc: 0.9046 Epoch 105/1000 329s 658ms/step - loss: 0.6902 - acc: 0.9066 - val_loss: 0.6744 - val_acc: 0.9114 Epoch 106/1000 329s 657ms/step - loss: 0.6944 - acc: 0.9038 - val_loss: 0.6758 - val_acc: 0.9119 Epoch 107/1000 329s 658ms/step - loss: 0.6895 - acc: 0.9036 - val_loss: 0.7041 - val_acc: 0.9024 Epoch 108/1000 329s 657ms/step - loss: 0.6976 - acc: 0.9026 - val_loss: 0.6959 - val_acc: 0.9065 Epoch 109/1000 329s 657ms/step - loss: 0.6890 - acc: 0.9063 - val_loss: 0.6866 - val_acc: 0.9125 Epoch 110/1000 329s 657ms/step - loss: 0.6897 - acc: 0.9062 - val_loss: 0.6786 - val_acc: 0.9150 Epoch 111/1000 329s 657ms/step - loss: 0.6941 - acc: 0.9061 - val_loss: 0.6870 - val_acc: 0.9100 Epoch 112/1000 329s 657ms/step - loss: 0.6916 - acc: 0.9052 - val_loss: 0.6836 - val_acc: 0.9069 Epoch 113/1000 329s 657ms/step - loss: 0.6908 - acc: 0.9040 - val_loss: 0.6841 - val_acc: 0.9108 Epoch 114/1000 329s 657ms/step - loss: 0.6907 - acc: 0.9059 - val_loss: 0.6831 - val_acc: 0.9102 Epoch 115/1000 328s 657ms/step - loss: 0.6904 - acc: 0.9063 - val_loss: 0.6852 - val_acc: 0.9101 Epoch 116/1000 329s 657ms/step - loss: 0.6940 - acc: 0.9051 - val_loss: 0.6977 - val_acc: 0.9069 Epoch 117/1000 329s 657ms/step - loss: 0.6909 - acc: 0.9075 - val_loss: 0.6904 - val_acc: 0.9110 Epoch 118/1000 329s 658ms/step - loss: 0.6888 - acc: 0.9066 - val_loss: 0.6845 - val_acc: 0.9144 Epoch 119/1000 328s 657ms/step - loss: 0.6890 - acc: 0.9058 - val_loss: 0.6954 - val_acc: 0.9076 Epoch 120/1000 329s 657ms/step - loss: 0.6893 - acc: 0.9059 - val_loss: 0.6790 - val_acc: 0.9125 Epoch 121/1000 329s 657ms/step - loss: 0.6840 - acc: 0.9082 - val_loss: 0.6813 - val_acc: 0.9088 Epoch 122/1000 329s 657ms/step - loss: 0.6966 - acc: 0.9032 - val_loss: 0.6816 - val_acc: 0.9079 Epoch 123/1000 329s 657ms/step - loss: 0.6869 - acc: 0.9093 - val_loss: 0.6970 - val_acc: 0.9057 Epoch 124/1000 329s 657ms/step - loss: 0.6907 - acc: 0.9052 - val_loss: 0.6734 - val_acc: 0.9143 Epoch 125/1000 328s 657ms/step - loss: 0.6886 - acc: 0.9074 - val_loss: 0.6811 - val_acc: 0.9102 Epoch 126/1000 329s 657ms/step - loss: 0.6862 - acc: 0.9082 - val_loss: 0.7166 - val_acc: 0.8981 Epoch 127/1000 329s 657ms/step - loss: 0.6882 - acc: 0.9078 - val_loss: 0.6780 - val_acc: 0.9125 Epoch 128/1000 329s 657ms/step - loss: 0.6972 - acc: 0.9036 - val_loss: 0.6861 - val_acc: 0.9110 Epoch 129/1000 329s 657ms/step - loss: 0.6848 - acc: 0.9099 - val_loss: 0.6905 - val_acc: 0.9069 Epoch 130/1000 329s 657ms/step - loss: 0.6868 - acc: 0.9072 - val_loss: 0.6773 - val_acc: 0.9150 Epoch 131/1000 329s 657ms/step - loss: 0.6915 - acc: 0.9070 - val_loss: 0.6852 - val_acc: 0.9113 Epoch 132/1000 329s 657ms/step - loss: 0.6879 - acc: 0.9075 - val_loss: 0.6821 - val_acc: 0.9116 Epoch 133/1000 328s 657ms/step - loss: 0.6903 - acc: 0.9068 - val_loss: 0.6854 - val_acc: 0.9102 Epoch 134/1000 329s 657ms/step - loss: 0.6888 - acc: 0.9075 - val_loss: 0.6987 - val_acc: 0.9077 Epoch 135/1000 329s 658ms/step - loss: 0.6888 - acc: 0.9074 - val_loss: 0.7070 - val_acc: 0.9055 Epoch 136/1000 329s 657ms/step - loss: 0.6909 - acc: 0.9089 - val_loss: 0.6839 - val_acc: 0.9133 Epoch 137/1000 329s 657ms/step - loss: 0.6866 - acc: 0.9087 - val_loss: 0.6873 - val_acc: 0.9091 Epoch 138/1000 328s 657ms/step - loss: 0.6916 - acc: 0.9067 - val_loss: 0.6984 - val_acc: 0.9073 Epoch 139/1000 329s 658ms/step - loss: 0.6905 - acc: 0.9070 - val_loss: 0.6842 - val_acc: 0.9137 Epoch 140/1000 331s 662ms/step - loss: 0.6863 - acc: 0.9084 - val_loss: 0.6936 - val_acc: 0.9110 Epoch 141/1000 329s 657ms/step - loss: 0.6863 - acc: 0.9090 - val_loss: 0.7201 - val_acc: 0.9043 Epoch 142/1000 328s 657ms/step - loss: 0.6855 - acc: 0.9089 - val_loss: 0.6890 - val_acc: 0.9100 Epoch 143/1000 329s 657ms/step - loss: 0.6881 - acc: 0.9071 - val_loss: 0.6997 - val_acc: 0.9022 Epoch 144/1000 329s 657ms/step - loss: 0.6860 - acc: 0.9087 - val_loss: 0.6794 - val_acc: 0.9121 Epoch 145/1000 328s 657ms/step - loss: 0.6878 - acc: 0.9079 - val_loss: 0.6919 - val_acc: 0.9096 Epoch 146/1000 329s 657ms/step - loss: 0.6860 - acc: 0.9076 - val_loss: 0.6870 - val_acc: 0.9115 Epoch 147/1000 328s 657ms/step - loss: 0.6836 - acc: 0.9112 - val_loss: 0.6757 - val_acc: 0.9140 Epoch 148/1000 329s 658ms/step - loss: 0.6876 - acc: 0.9068 - val_loss: 0.6843 - val_acc: 0.9123 Epoch 149/1000 329s 657ms/step - loss: 0.6857 - acc: 0.9086 - val_loss: 0.6851 - val_acc: 0.9114 Epoch 150/1000 329s 659ms/step - loss: 0.6832 - acc: 0.9096 - val_loss: 0.6798 - val_acc: 0.9142 Epoch 151/1000 329s 659ms/step - loss: 0.6887 - acc: 0.9081 - val_loss: 0.6761 - val_acc: 0.9161 Epoch 152/1000 329s 658ms/step - loss: 0.6850 - acc: 0.9090 - val_loss: 0.7138 - val_acc: 0.9042 Epoch 153/1000 332s 664ms/step - loss: 0.6845 - acc: 0.9101 - val_loss: 0.6783 - val_acc: 0.9137 Epoch 154/1000 330s 659ms/step - loss: 0.6879 - acc: 0.9095 - val_loss: 0.6898 - val_acc: 0.9070 Epoch 155/1000 329s 657ms/step - loss: 0.6820 - acc: 0.9106 - val_loss: 0.6964 - val_acc: 0.9076 Epoch 156/1000 328s 657ms/step - loss: 0.6884 - acc: 0.9078 - val_loss: 0.6919 - val_acc: 0.9089 Epoch 157/1000 328s 657ms/step - loss: 0.6860 - acc: 0.9095 - val_loss: 0.6758 - val_acc: 0.9164 Epoch 158/1000 329s 658ms/step - loss: 0.6853 - acc: 0.9101 - val_loss: 0.6822 - val_acc: 0.9149 Epoch 159/1000 328s 657ms/step - loss: 0.6880 - acc: 0.9086 - val_loss: 0.6964 - val_acc: 0.9101 Epoch 160/1000 328s 657ms/step - loss: 0.6822 - acc: 0.9103 - val_loss: 0.6767 - val_acc: 0.9140 Epoch 161/1000 329s 657ms/step - loss: 0.6826 - acc: 0.9107 - val_loss: 0.6733 - val_acc: 0.9170 Epoch 162/1000 329s 658ms/step - loss: 0.6848 - acc: 0.9104 - val_loss: 0.7111 - val_acc: 0.9036 Epoch 163/1000 329s 657ms/step - loss: 0.6824 - acc: 0.9113 - val_loss: 0.6874 - val_acc: 0.9096 Epoch 164/1000 329s 657ms/step - loss: 0.6804 - acc: 0.9120 - val_loss: 0.6969 - val_acc: 0.9083 Epoch 165/1000 329s 657ms/step - loss: 0.6812 - acc: 0.9108 - val_loss: 0.6867 - val_acc: 0.9105 Epoch 166/1000 331s 663ms/step - loss: 0.6861 - acc: 0.9094 - val_loss: 0.7172 - val_acc: 0.9049 Epoch 167/1000 329s 658ms/step - loss: 0.6872 - acc: 0.9109 - val_loss: 0.7027 - val_acc: 0.9063 Epoch 168/1000 329s 658ms/step - loss: 0.6847 - acc: 0.9110 - val_loss: 0.6851 - val_acc: 0.9128 Epoch 169/1000 329s 657ms/step - loss: 0.6849 - acc: 0.9109 - val_loss: 0.6786 - val_acc: 0.9133 Epoch 170/1000 329s 657ms/step - loss: 0.6848 - acc: 0.9109 - val_loss: 0.6923 - val_acc: 0.9104 Epoch 171/1000 328s 657ms/step - loss: 0.6871 - acc: 0.9104 - val_loss: 0.7007 - val_acc: 0.9083 Epoch 172/1000 328s 657ms/step - loss: 0.6823 - acc: 0.9113 - val_loss: 0.6857 - val_acc: 0.9152 Epoch 173/1000 328s 657ms/step - loss: 0.6827 - acc: 0.9107 - val_loss: 0.6829 - val_acc: 0.9136 Epoch 174/1000 329s 657ms/step - loss: 0.6789 - acc: 0.9118 - val_loss: 0.6929 - val_acc: 0.9096 Epoch 175/1000 329s 658ms/step - loss: 0.6860 - acc: 0.9090 - val_loss: 0.6831 - val_acc: 0.9144 Epoch 176/1000 329s 657ms/step - loss: 0.6852 - acc: 0.9091 - val_loss: 0.6786 - val_acc: 0.9154 Epoch 177/1000 328s 657ms/step - loss: 0.6829 - acc: 0.9107 - val_loss: 0.6841 - val_acc: 0.9128 Epoch 178/1000 329s 657ms/step - loss: 0.6827 - acc: 0.9114 - val_loss: 0.6962 - val_acc: 0.9081 Epoch 179/1000 329s 658ms/step - loss: 0.6837 - acc: 0.9109 - val_loss: 0.6851 - val_acc: 0.9122 Epoch 180/1000 329s 657ms/step - loss: 0.6833 - acc: 0.9107 - val_loss: 0.6863 - val_acc: 0.9092 Epoch 181/1000 330s 659ms/step - loss: 0.6830 - acc: 0.9103 - val_loss: 0.7133 - val_acc: 0.9031 Epoch 182/1000 331s 661ms/step - loss: 0.6879 - acc: 0.9112 - val_loss: 0.6916 - val_acc: 0.9104 Epoch 183/1000 329s 657ms/step - loss: 0.6829 - acc: 0.9098 - val_loss: 0.6945 - val_acc: 0.9089 Epoch 184/1000 328s 657ms/step - loss: 0.6882 - acc: 0.9102 - val_loss: 0.6908 - val_acc: 0.9093 Epoch 185/1000 329s 657ms/step - loss: 0.6816 - acc: 0.9113 - val_loss: 0.6898 - val_acc: 0.9138 Epoch 186/1000 331s 662ms/step - loss: 0.6875 - acc: 0.9095 - val_loss: 0.6690 - val_acc: 0.9201 Epoch 187/1000 329s 659ms/step - loss: 0.6821 - acc: 0.9122 - val_loss: 0.6973 - val_acc: 0.9113 Epoch 188/1000 332s 665ms/step - loss: 0.6854 - acc: 0.9116 - val_loss: 0.6866 - val_acc: 0.9150 Epoch 189/1000 329s 657ms/step - loss: 0.6810 - acc: 0.9117 - val_loss: 0.6731 - val_acc: 0.9184 Epoch 190/1000 329s 657ms/step - loss: 0.6845 - acc: 0.9116 - val_loss: 0.6797 - val_acc: 0.9123 Epoch 191/1000 329s 658ms/step - loss: 0.6849 - acc: 0.9117 - val_loss: 0.6768 - val_acc: 0.9151 Epoch 192/1000 329s 657ms/step - loss: 0.6824 - acc: 0.9126 - val_loss: 0.6717 - val_acc: 0.9180 Epoch 193/1000 329s 657ms/step - loss: 0.6831 - acc: 0.9115 - val_loss: 0.6978 - val_acc: 0.9090 Epoch 194/1000 328s 657ms/step - loss: 0.6871 - acc: 0.9088 - val_loss: 0.6844 - val_acc: 0.9113 Epoch 195/1000 328s 657ms/step - loss: 0.6831 - acc: 0.9120 - val_loss: 0.6968 - val_acc: 0.9118 Epoch 196/1000 329s 657ms/step - loss: 0.6804 - acc: 0.9127 - val_loss: 0.6671 - val_acc: 0.9193 Epoch 197/1000 329s 657ms/step - loss: 0.6792 - acc: 0.9127 - val_loss: 0.6900 - val_acc: 0.9150 Epoch 198/1000 329s 657ms/step - loss: 0.6877 - acc: 0.9094 - val_loss: 0.6898 - val_acc: 0.9117 Epoch 199/1000 329s 657ms/step - loss: 0.6789 - acc: 0.9133 - val_loss: 0.6828 - val_acc: 0.9161 Epoch 200/1000 329s 657ms/step - loss: 0.6834 - acc: 0.9110 - val_loss: 0.6733 - val_acc: 0.9192 Epoch 201/1000 329s 657ms/step - loss: 0.6806 - acc: 0.9131 - val_loss: 0.6693 - val_acc: 0.9196 Epoch 202/1000 331s 662ms/step - loss: 0.6782 - acc: 0.9119 - val_loss: 0.6918 - val_acc: 0.9103 Epoch 203/1000 329s 658ms/step - loss: 0.6822 - acc: 0.9116 - val_loss: 0.7031 - val_acc: 0.9100 Epoch 204/1000 329s 658ms/step - loss: 0.6835 - acc: 0.9123 - val_loss: 0.6968 - val_acc: 0.9090 Epoch 205/1000 329s 658ms/step - loss: 0.6831 - acc: 0.9104 - val_loss: 0.6719 - val_acc: 0.9204 Epoch 206/1000 329s 658ms/step - loss: 0.6806 - acc: 0.9128 - val_loss: 0.6813 - val_acc: 0.9143 Epoch 207/1000 329s 657ms/step - loss: 0.6824 - acc: 0.9116 - val_loss: 0.6830 - val_acc: 0.9131 Epoch 208/1000 329s 658ms/step - loss: 0.6815 - acc: 0.9117 - val_loss: 0.6724 - val_acc: 0.9192 Epoch 209/1000 329s 658ms/step - loss: 0.6813 - acc: 0.9121 - val_loss: 0.6961 - val_acc: 0.9085 Epoch 210/1000 329s 658ms/step - loss: 0.6853 - acc: 0.9102 - val_loss: 0.6890 - val_acc: 0.9138 Epoch 211/1000 329s 658ms/step - loss: 0.6803 - acc: 0.9133 - val_loss: 0.6917 - val_acc: 0.9103 Epoch 212/1000 329s 658ms/step - loss: 0.6768 - acc: 0.9141 - val_loss: 0.6763 - val_acc: 0.9183 Epoch 213/1000 329s 658ms/step - loss: 0.6801 - acc: 0.9120 - val_loss: 0.6743 - val_acc: 0.9174 Epoch 214/1000 329s 658ms/step - loss: 0.6824 - acc: 0.9124 - val_loss: 0.6973 - val_acc: 0.9117 Epoch 215/1000 329s 657ms/step - loss: 0.6877 - acc: 0.9110 - val_loss: 0.6758 - val_acc: 0.9157 Epoch 216/1000 328s 657ms/step - loss: 0.6793 - acc: 0.9135 - val_loss: 0.6639 - val_acc: 0.9190 Epoch 217/1000 329s 657ms/step - loss: 0.6824 - acc: 0.9123 - val_loss: 0.6938 - val_acc: 0.9093 Epoch 218/1000 328s 657ms/step - loss: 0.6773 - acc: 0.9131 - val_loss: 0.6859 - val_acc: 0.9124 Epoch 219/1000 328s 657ms/step - loss: 0.6818 - acc: 0.9137 - val_loss: 0.7022 - val_acc: 0.9091 Epoch 220/1000 329s 657ms/step - loss: 0.6819 - acc: 0.9131 - val_loss: 0.6826 - val_acc: 0.9152 Epoch 221/1000 329s 659ms/step - loss: 0.6844 - acc: 0.9125 - val_loss: 0.6899 - val_acc: 0.9094 Epoch 222/1000 329s 658ms/step - loss: 0.6814 - acc: 0.9133 - val_loss: 0.6745 - val_acc: 0.9186 Epoch 223/1000 329s 658ms/step - loss: 0.6784 - acc: 0.9130 - val_loss: 0.7058 - val_acc: 0.9094 Epoch 224/1000 329s 658ms/step - loss: 0.6797 - acc: 0.9141 - val_loss: 0.6742 - val_acc: 0.9172 Epoch 225/1000 329s 658ms/step - loss: 0.6802 - acc: 0.9136 - val_loss: 0.6896 - val_acc: 0.9130 Epoch 226/1000 329s 658ms/step - loss: 0.6821 - acc: 0.9122 - val_loss: 0.6661 - val_acc: 0.9212 Epoch 227/1000 329s 657ms/step - loss: 0.6805 - acc: 0.9134 - val_loss: 0.6954 - val_acc: 0.9120 Epoch 228/1000 329s 657ms/step - loss: 0.6832 - acc: 0.9128 - val_loss: 0.6933 - val_acc: 0.9108 Epoch 229/1000 329s 658ms/step - loss: 0.6776 - acc: 0.9143 - val_loss: 0.6777 - val_acc: 0.9166 Epoch 230/1000 329s 658ms/step - loss: 0.6824 - acc: 0.9132 - val_loss: 0.7123 - val_acc: 0.9043 Epoch 231/1000 329s 658ms/step - loss: 0.6842 - acc: 0.9124 - val_loss: 0.6955 - val_acc: 0.9111 Epoch 232/1000 329s 657ms/step - loss: 0.6811 - acc: 0.9134 - val_loss: 0.6866 - val_acc: 0.9119 Epoch 233/1000 329s 658ms/step - loss: 0.6755 - acc: 0.9149 - val_loss: 0.7080 - val_acc: 0.9069 Epoch 234/1000 329s 658ms/step - loss: 0.6836 - acc: 0.9119 - val_loss: 0.6990 - val_acc: 0.9106 Epoch 235/1000 329s 658ms/step - loss: 0.6786 - acc: 0.9129 - val_loss: 0.6783 - val_acc: 0.9172 Epoch 236/1000 329s 658ms/step - loss: 0.6811 - acc: 0.9129 - val_loss: 0.6744 - val_acc: 0.9152 Epoch 237/1000 329s 658ms/step - loss: 0.6788 - acc: 0.9139 - val_loss: 0.6812 - val_acc: 0.9161 Epoch 238/1000 329s 658ms/step - loss: 0.6810 - acc: 0.9137 - val_loss: 0.6842 - val_acc: 0.9156 Epoch 239/1000 329s 658ms/step - loss: 0.6890 - acc: 0.9106 - val_loss: 0.6681 - val_acc: 0.9207 Epoch 240/1000 330s 660ms/step - loss: 0.6851 - acc: 0.9133 - val_loss: 0.6813 - val_acc: 0.9190 Epoch 241/1000 329s 659ms/step - loss: 0.6842 - acc: 0.9133 - val_loss: 0.6929 - val_acc: 0.9123 Epoch 242/1000 329s 658ms/step - loss: 0.6745 - acc: 0.9149 - val_loss: 0.6817 - val_acc: 0.9129 Epoch 243/1000 331s 662ms/step - loss: 0.6758 - acc: 0.9148 - val_loss: 0.6810 - val_acc: 0.9154 Epoch 244/1000 329s 658ms/step - loss: 0.6828 - acc: 0.9134 - val_loss: 0.6866 - val_acc: 0.9152 Epoch 245/1000 329s 659ms/step - loss: 0.6802 - acc: 0.9132 - val_loss: 0.6830 - val_acc: 0.9168 Epoch 246/1000 328s 657ms/step - loss: 0.6801 - acc: 0.9139 - val_loss: 0.6893 - val_acc: 0.9139 Epoch 247/1000 328s 657ms/step - loss: 0.6770 - acc: 0.9159 - val_loss: 0.6869 - val_acc: 0.9138 Epoch 248/1000 328s 657ms/step - loss: 0.6771 - acc: 0.9144 - val_loss: 0.6803 - val_acc: 0.9158 Epoch 249/1000 329s 657ms/step - loss: 0.6786 - acc: 0.9138 - val_loss: 0.6931 - val_acc: 0.9087 Epoch 250/1000 328s 657ms/step - loss: 0.6824 - acc: 0.9119 - val_loss: 0.6867 - val_acc: 0.9128 Epoch 251/1000 329s 657ms/step - loss: 0.6748 - acc: 0.9161 - val_loss: 0.6715 - val_acc: 0.9160 Epoch 252/1000 329s 658ms/step - loss: 0.6768 - acc: 0.9149 - val_loss: 0.6969 - val_acc: 0.9104 Epoch 253/1000 331s 663ms/step - loss: 0.6777 - acc: 0.9133 - val_loss: 0.6803 - val_acc: 0.9169 Epoch 254/1000 329s 657ms/step - loss: 0.6785 - acc: 0.9152 - val_loss: 0.6824 - val_acc: 0.9167 Epoch 255/1000 329s 657ms/step - loss: 0.6842 - acc: 0.9134 - val_loss: 0.6889 - val_acc: 0.9136 Epoch 256/1000 328s 657ms/step - loss: 0.6805 - acc: 0.9144 - val_loss: 0.6850 - val_acc: 0.9122 Epoch 257/1000 329s 657ms/step - loss: 0.6799 - acc: 0.9143 - val_loss: 0.6681 - val_acc: 0.9209 Epoch 258/1000 329s 657ms/step - loss: 0.6744 - acc: 0.9152 - val_loss: 0.6823 - val_acc: 0.9170 Epoch 259/1000 328s 657ms/step - loss: 0.6804 - acc: 0.9139 - val_loss: 0.6833 - val_acc: 0.9150 Epoch 260/1000 332s 663ms/step - loss: 0.6776 - acc: 0.9148 - val_loss: 0.6851 - val_acc: 0.9137 Epoch 261/1000 329s 657ms/step - loss: 0.6786 - acc: 0.9142 - val_loss: 0.6813 - val_acc: 0.9166 Epoch 262/1000 328s 657ms/step - loss: 0.6834 - acc: 0.9129 - val_loss: 0.6840 - val_acc: 0.9174 Epoch 263/1000 328s 657ms/step - loss: 0.6761 - acc: 0.9163 - val_loss: 0.6774 - val_acc: 0.9140 Epoch 264/1000 328s 657ms/step - loss: 0.6754 - acc: 0.9142 - val_loss: 0.6793 - val_acc: 0.9166 Epoch 265/1000 332s 663ms/step - loss: 0.6817 - acc: 0.9137 - val_loss: 0.7218 - val_acc: 0.9043 Epoch 266/1000 329s 657ms/step - loss: 0.6812 - acc: 0.9142 - val_loss: 0.6807 - val_acc: 0.9142 Epoch 267/1000 328s 656ms/step - loss: 0.6719 - acc: 0.9164 - val_loss: 0.6801 - val_acc: 0.9183 Epoch 268/1000 330s 659ms/step - loss: 0.6768 - acc: 0.9142 - val_loss: 0.6874 - val_acc: 0.9134 Epoch 269/1000 329s 658ms/step - loss: 0.6747 - acc: 0.9157 - val_loss: 0.6954 - val_acc: 0.9114 Epoch 270/1000 329s 658ms/step - loss: 0.6737 - acc: 0.9150 - val_loss: 0.6955 - val_acc: 0.9102 Epoch 271/1000 328s 656ms/step - loss: 0.6770 - acc: 0.9148 - val_loss: 0.6853 - val_acc: 0.9104 Epoch 272/1000 328s 656ms/step - loss: 0.6785 - acc: 0.9139 - val_loss: 0.6960 - val_acc: 0.9134 Epoch 273/1000 328s 656ms/step - loss: 0.6830 - acc: 0.9136 - val_loss: 0.6851 - val_acc: 0.9141 Epoch 274/1000 328s 656ms/step - loss: 0.6784 - acc: 0.9143 - val_loss: 0.6921 - val_acc: 0.9119 Epoch 275/1000 328s 656ms/step - loss: 0.6786 - acc: 0.9135 - val_loss: 0.6974 - val_acc: 0.9074 Epoch 276/1000 329s 659ms/step - loss: 0.6739 - acc: 0.9164 - val_loss: 0.6864 - val_acc: 0.9137 Epoch 277/1000 329s 658ms/step - loss: 0.6805 - acc: 0.9154 - val_loss: 0.7002 - val_acc: 0.9091 Epoch 278/1000 329s 658ms/step - loss: 0.6839 - acc: 0.9110 - val_loss: 0.6873 - val_acc: 0.9170 Epoch 279/1000 329s 657ms/step - loss: 0.6806 - acc: 0.9142 - val_loss: 0.6887 - val_acc: 0.9139 Epoch 280/1000 329s 658ms/step - loss: 0.6830 - acc: 0.9149 - val_loss: 0.6858 - val_acc: 0.9136 Epoch 281/1000 329s 658ms/step - loss: 0.6815 - acc: 0.9150 - val_loss: 0.7072 - val_acc: 0.9102 Epoch 282/1000 329s 658ms/step - loss: 0.6824 - acc: 0.9150 - val_loss: 0.6886 - val_acc: 0.9141 Epoch 283/1000 329s 658ms/step - loss: 0.6759 - acc: 0.9165 - val_loss: 0.6684 - val_acc: 0.9154 Epoch 284/1000 329s 658ms/step - loss: 0.6777 - acc: 0.9159 - val_loss: 0.6890 - val_acc: 0.9133 Epoch 285/1000 329s 658ms/step - loss: 0.6739 - acc: 0.9146 - val_loss: 0.6872 - val_acc: 0.9134 Epoch 286/1000 329s 657ms/step - loss: 0.6761 - acc: 0.9160 - val_loss: 0.6999 - val_acc: 0.9128 Epoch 287/1000 329s 658ms/step - loss: 0.6830 - acc: 0.9131 - val_loss: 0.7030 - val_acc: 0.9074 Epoch 288/1000 329s 659ms/step - loss: 0.6833 - acc: 0.9146 - val_loss: 0.6731 - val_acc: 0.9201 Epoch 289/1000 329s 657ms/step - loss: 0.6811 - acc: 0.9156 - val_loss: 0.6852 - val_acc: 0.9137 Epoch 290/1000 329s 658ms/step - loss: 0.6783 - acc: 0.9158 - val_loss: 0.6965 - val_acc: 0.9127 Epoch 291/1000 329s 658ms/step - loss: 0.6793 - acc: 0.9147 - val_loss: 0.7039 - val_acc: 0.9103 Epoch 292/1000 329s 657ms/step - loss: 0.6802 - acc: 0.9141 - val_loss: 0.6988 - val_acc: 0.9117 Epoch 293/1000 329s 658ms/step - loss: 0.6731 - acc: 0.9181 - val_loss: 0.6805 - val_acc: 0.9176 Epoch 294/1000 329s 657ms/step - loss: 0.6777 - acc: 0.9160 - val_loss: 0.6879 - val_acc: 0.9152 Epoch 295/1000 329s 658ms/step - loss: 0.6797 - acc: 0.9135 - val_loss: 0.7164 - val_acc: 0.9047 Epoch 296/1000 329s 658ms/step - loss: 0.6779 - acc: 0.9155 - val_loss: 0.7147 - val_acc: 0.9053 Epoch 297/1000 329s 658ms/step - loss: 0.6819 - acc: 0.9145 - val_loss: 0.6997 - val_acc: 0.9125 Epoch 298/1000 329s 658ms/step - loss: 0.6778 - acc: 0.9159 - val_loss: 0.6868 - val_acc: 0.9186 Epoch 299/1000 329s 658ms/step - loss: 0.6737 - acc: 0.9162 - val_loss: 0.7111 - val_acc: 0.9053 Epoch 300/1000 329s 658ms/step - loss: 0.6785 - acc: 0.9150 - val_loss: 0.6837 - val_acc: 0.9176 Epoch 301/1000 lr changed to 0.010000000149011612 329s 657ms/step - loss: 0.5770 - acc: 0.9504 - val_loss: 0.5992 - val_acc: 0.9421 Epoch 302/1000 329s 657ms/step - loss: 0.5208 - acc: 0.9675 - val_loss: 0.5883 - val_acc: 0.9469 Epoch 303/1000 329s 657ms/step - loss: 0.4996 - acc: 0.9727 - val_loss: 0.5778 - val_acc: 0.9466 Epoch 304/1000 329s 658ms/step - loss: 0.4859 - acc: 0.9737 - val_loss: 0.5660 - val_acc: 0.9480 Epoch 305/1000 329s 657ms/step - loss: 0.4716 - acc: 0.9773 - val_loss: 0.5623 - val_acc: 0.9476 Epoch 306/1000 329s 657ms/step - loss: 0.4561 - acc: 0.9802 - val_loss: 0.5534 - val_acc: 0.9496 Epoch 307/1000 329s 657ms/step - loss: 0.4473 - acc: 0.9807 - val_loss: 0.5434 - val_acc: 0.9488 Epoch 308/1000 329s 657ms/step - loss: 0.4373 - acc: 0.9814 - val_loss: 0.5413 - val_acc: 0.9494 Epoch 309/1000 329s 658ms/step - loss: 0.4271 - acc: 0.9827 - val_loss: 0.5359 - val_acc: 0.9481 Epoch 310/1000 329s 657ms/step - loss: 0.4173 - acc: 0.9838 - val_loss: 0.5266 - val_acc: 0.9509 Epoch 311/1000 329s 657ms/step - loss: 0.4078 - acc: 0.9856 - val_loss: 0.5195 - val_acc: 0.9496 Epoch 312/1000 329s 657ms/step - loss: 0.4022 - acc: 0.9846 - val_loss: 0.5200 - val_acc: 0.9493 Epoch 313/1000 329s 658ms/step - loss: 0.3934 - acc: 0.9860 - val_loss: 0.5136 - val_acc: 0.9505 Epoch 314/1000 329s 657ms/step - loss: 0.3863 - acc: 0.9862 - val_loss: 0.5125 - val_acc: 0.9480 Epoch 315/1000 329s 657ms/step - loss: 0.3784 - acc: 0.9875 - val_loss: 0.5041 - val_acc: 0.9503 Epoch 316/1000 329s 657ms/step - loss: 0.3740 - acc: 0.9866 - val_loss: 0.5026 - val_acc: 0.9485 Epoch 317/1000 328s 657ms/step - loss: 0.3689 - acc: 0.9867 - val_loss: 0.4907 - val_acc: 0.9518 Epoch 318/1000 329s 657ms/step - loss: 0.3607 - acc: 0.9878 - val_loss: 0.4934 - val_acc: 0.9506 Epoch 319/1000 330s 659ms/step - loss: 0.3558 - acc: 0.9873 - val_loss: 0.4836 - val_acc: 0.9503 Epoch 320/1000 329s 657ms/step - loss: 0.3465 - acc: 0.9890 - val_loss: 0.4787 - val_acc: 0.9514 Epoch 321/1000 328s 657ms/step - loss: 0.3427 - acc: 0.9891 - val_loss: 0.4784 - val_acc: 0.9509 Epoch 322/1000 331s 663ms/step - loss: 0.3382 - acc: 0.9890 - val_loss: 0.4716 - val_acc: 0.9506 Epoch 323/1000 329s 658ms/step - loss: 0.3314 - acc: 0.9894 - val_loss: 0.4708 - val_acc: 0.9509 Epoch 324/1000 329s 657ms/step - loss: 0.3292 - acc: 0.9892 - val_loss: 0.4612 - val_acc: 0.9534 Epoch 325/1000 329s 657ms/step - loss: 0.3212 - acc: 0.9900 - val_loss: 0.4520 - val_acc: 0.9509 Epoch 326/1000 328s 657ms/step - loss: 0.3152 - acc: 0.9903 - val_loss: 0.4612 - val_acc: 0.9474 Epoch 327/1000 332s 663ms/step - loss: 0.3132 - acc: 0.9898 - val_loss: 0.4641 - val_acc: 0.9496 Epoch 328/1000 329s 657ms/step - loss: 0.3069 - acc: 0.9902 - val_loss: 0.4569 - val_acc: 0.9486 Epoch 329/1000 328s 657ms/step - loss: 0.3031 - acc: 0.9903 - val_loss: 0.4423 - val_acc: 0.9518 Epoch 330/1000 328s 657ms/step - loss: 0.2982 - acc: 0.9912 - val_loss: 0.4525 - val_acc: 0.9481 Epoch 331/1000 328s 657ms/step - loss: 0.2959 - acc: 0.9901 - val_loss: 0.4381 - val_acc: 0.9503 Epoch 332/1000 328s 656ms/step - loss: 0.2898 - acc: 0.9912 - val_loss: 0.4353 - val_acc: 0.9500 Epoch 333/1000 328s 656ms/step - loss: 0.2859 - acc: 0.9912 - val_loss: 0.4339 - val_acc: 0.9501 Epoch 334/1000 328s 657ms/step - loss: 0.2828 - acc: 0.9906 - val_loss: 0.4305 - val_acc: 0.9490 Epoch 335/1000 329s 657ms/step - loss: 0.2783 - acc: 0.9907 - val_loss: 0.4230 - val_acc: 0.9503 Epoch 336/1000 328s 657ms/step - loss: 0.2781 - acc: 0.9898 - val_loss: 0.4222 - val_acc: 0.9493 Epoch 337/1000 329s 657ms/step - loss: 0.2726 - acc: 0.9908 - val_loss: 0.4270 - val_acc: 0.9477 Epoch 338/1000 328s 657ms/step - loss: 0.2687 - acc: 0.9911 - val_loss: 0.4215 - val_acc: 0.9448 Epoch 339/1000 328s 657ms/step - loss: 0.2673 - acc: 0.9905 - val_loss: 0.4133 - val_acc: 0.9483 Epoch 340/1000 328s 657ms/step - loss: 0.2617 - acc: 0.9911 - val_loss: 0.4149 - val_acc: 0.9478 Epoch 341/1000 328s 657ms/step - loss: 0.2602 - acc: 0.9913 - val_loss: 0.4231 - val_acc: 0.9440 Epoch 342/1000 328s 657ms/step - loss: 0.2589 - acc: 0.9900 - val_loss: 0.4154 - val_acc: 0.9473 Epoch 343/1000 328s 657ms/step - loss: 0.2541 - acc: 0.9909 - val_loss: 0.4021 - val_acc: 0.9478 Epoch 344/1000 328s 657ms/step - loss: 0.2513 - acc: 0.9909 - val_loss: 0.4091 - val_acc: 0.9475 Epoch 345/1000 328s 657ms/step - loss: 0.2505 - acc: 0.9900 - val_loss: 0.4080 - val_acc: 0.9456 Epoch 346/1000 328s 657ms/step - loss: 0.2472 - acc: 0.9906 - val_loss: 0.3935 - val_acc: 0.9482 Epoch 347/1000 328s 656ms/step - loss: 0.2437 - acc: 0.9906 - val_loss: 0.3987 - val_acc: 0.9493 Epoch 348/1000 328s 656ms/step - loss: 0.2421 - acc: 0.9903 - val_loss: 0.3932 - val_acc: 0.9485 Epoch 349/1000 328s 656ms/step - loss: 0.2368 - acc: 0.9912 - val_loss: 0.3914 - val_acc: 0.9464 Epoch 350/1000 328s 657ms/step - loss: 0.2344 - acc: 0.9916 - val_loss: 0.3882 - val_acc: 0.9518 Epoch 351/1000 328s 657ms/step - loss: 0.2372 - acc: 0.9898 - val_loss: 0.3939 - val_acc: 0.9494 Epoch 352/1000 328s 657ms/step - loss: 0.2300 - acc: 0.9916 - val_loss: 0.3815 - val_acc: 0.9498 Epoch 353/1000 328s 657ms/step - loss: 0.2291 - acc: 0.9910 - val_loss: 0.3883 - val_acc: 0.9481 Epoch 354/1000 328s 657ms/step - loss: 0.2283 - acc: 0.9906 - val_loss: 0.3821 - val_acc: 0.9494 Epoch 355/1000 328s 657ms/step - loss: 0.2276 - acc: 0.9902 - val_loss: 0.3774 - val_acc: 0.9492 Epoch 356/1000 328s 657ms/step - loss: 0.2281 - acc: 0.9894 - val_loss: 0.3822 - val_acc: 0.9473 Epoch 357/1000 328s 657ms/step - loss: 0.2223 - acc: 0.9907 - val_loss: 0.3756 - val_acc: 0.9491 Epoch 358/1000 328s 657ms/step - loss: 0.2216 - acc: 0.9904 - val_loss: 0.3771 - val_acc: 0.9477 Epoch 359/1000 328s 657ms/step - loss: 0.2188 - acc: 0.9912 - val_loss: 0.3739 - val_acc: 0.9495 Epoch 360/1000 328s 657ms/step - loss: 0.2189 - acc: 0.9901 - val_loss: 0.3738 - val_acc: 0.9475 Epoch 361/1000 328s 657ms/step - loss: 0.2168 - acc: 0.9902 - val_loss: 0.3730 - val_acc: 0.9481 Epoch 362/1000 328s 657ms/step - loss: 0.2173 - acc: 0.9899 - val_loss: 0.3589 - val_acc: 0.9504 Epoch 363/1000 328s 657ms/step - loss: 0.2128 - acc: 0.9904 - val_loss: 0.3682 - val_acc: 0.9472 Epoch 364/1000 330s 659ms/step - loss: 0.2124 - acc: 0.9904 - val_loss: 0.3653 - val_acc: 0.9479 Epoch 365/1000 330s 660ms/step - loss: 0.2117 - acc: 0.9894 - val_loss: 0.3719 - val_acc: 0.9450 Epoch 366/1000 329s 659ms/step - loss: 0.2108 - acc: 0.9899 - val_loss: 0.3576 - val_acc: 0.9490 Epoch 367/1000 329s 658ms/step - loss: 0.2106 - acc: 0.9895 - val_loss: 0.3704 - val_acc: 0.9456 Epoch 368/1000 329s 657ms/step - loss: 0.2081 - acc: 0.9895 - val_loss: 0.3577 - val_acc: 0.9466 Epoch 369/1000 328s 657ms/step - loss: 0.2038 - acc: 0.9904 - val_loss: 0.3626 - val_acc: 0.9471 Epoch 370/1000 328s 657ms/step - loss: 0.2059 - acc: 0.9898 - val_loss: 0.3613 - val_acc: 0.9491 Epoch 371/1000 328s 657ms/step - loss: 0.2059 - acc: 0.9898 - val_loss: 0.3732 - val_acc: 0.9465 Epoch 372/1000 328s 657ms/step - loss: 0.2048 - acc: 0.9894 - val_loss: 0.3616 - val_acc: 0.9457 Epoch 373/1000 328s 657ms/step - loss: 0.2022 - acc: 0.9900 - val_loss: 0.3588 - val_acc: 0.9481 Epoch 374/1000 328s 657ms/step - loss: 0.2023 - acc: 0.9895 - val_loss: 0.3583 - val_acc: 0.9484 Epoch 375/1000 329s 657ms/step - loss: 0.2013 - acc: 0.9900 - val_loss: 0.3643 - val_acc: 0.9455 Epoch 376/1000 329s 657ms/step - loss: 0.2018 - acc: 0.9891 - val_loss: 0.3557 - val_acc: 0.9478 Epoch 377/1000 328s 657ms/step - loss: 0.2003 - acc: 0.9895 - val_loss: 0.3644 - val_acc: 0.9445 Epoch 378/1000 328s 656ms/step - loss: 0.2023 - acc: 0.9884 - val_loss: 0.3578 - val_acc: 0.9476 Epoch 379/1000 328s 657ms/step - loss: 0.1998 - acc: 0.9888 - val_loss: 0.3567 - val_acc: 0.9454 Epoch 380/1000 332s 664ms/step - loss: 0.1991 - acc: 0.9893 - val_loss: 0.3600 - val_acc: 0.9451 Epoch 381/1000 329s 657ms/step - loss: 0.1950 - acc: 0.9900 - val_loss: 0.3538 - val_acc: 0.9468 Epoch 382/1000 329s 657ms/step - loss: 0.1961 - acc: 0.9890 - val_loss: 0.3451 - val_acc: 0.9468 Epoch 383/1000 328s 657ms/step - loss: 0.1977 - acc: 0.9884 - val_loss: 0.3535 - val_acc: 0.9432 Epoch 384/1000 328s 657ms/step - loss: 0.1958 - acc: 0.9891 - val_loss: 0.3577 - val_acc: 0.9419 Epoch 385/1000 328s 657ms/step - loss: 0.1961 - acc: 0.9887 - val_loss: 0.3571 - val_acc: 0.9452 Epoch 386/1000 329s 657ms/step - loss: 0.1943 - acc: 0.9889 - val_loss: 0.3603 - val_acc: 0.9442 Epoch 387/1000 328s 657ms/step - loss: 0.1981 - acc: 0.9869 - val_loss: 0.3641 - val_acc: 0.9416 Epoch 388/1000 328s 657ms/step - loss: 0.1949 - acc: 0.9887 - val_loss: 0.3548 - val_acc: 0.9432 Epoch 389/1000 329s 657ms/step - loss: 0.1933 - acc: 0.9887 - val_loss: 0.3459 - val_acc: 0.9449 Epoch 390/1000 329s 657ms/step - loss: 0.1939 - acc: 0.9885 - val_loss: 0.3379 - val_acc: 0.9466 Epoch 391/1000 329s 657ms/step - loss: 0.1938 - acc: 0.9884 - val_loss: 0.3575 - val_acc: 0.9433 Epoch 392/1000 329s 657ms/step - loss: 0.1972 - acc: 0.9868 - val_loss: 0.3548 - val_acc: 0.9441 Epoch 393/1000 329s 657ms/step - loss: 0.1943 - acc: 0.9881 - val_loss: 0.3556 - val_acc: 0.9435 Epoch 394/1000 329s 658ms/step - loss: 0.1933 - acc: 0.9886 - val_loss: 0.3489 - val_acc: 0.9457 Epoch 395/1000 328s 657ms/step - loss: 0.1926 - acc: 0.9884 - val_loss: 0.3485 - val_acc: 0.9440 Epoch 396/1000 328s 657ms/step - loss: 0.1903 - acc: 0.9885 - val_loss: 0.3540 - val_acc: 0.9446 Epoch 397/1000 330s 659ms/step - loss: 0.1913 - acc: 0.9885 - val_loss: 0.3534 - val_acc: 0.9427 Epoch 398/1000 329s 658ms/step - loss: 0.1897 - acc: 0.9885 - val_loss: 0.3375 - val_acc: 0.9464 Epoch 399/1000 329s 657ms/step - loss: 0.1927 - acc: 0.9875 - val_loss: 0.3494 - val_acc: 0.9444 Epoch 400/1000 328s 657ms/step - loss: 0.1917 - acc: 0.9881 - val_loss: 0.3432 - val_acc: 0.9447 Epoch 401/1000 328s 657ms/step - loss: 0.1877 - acc: 0.9894 - val_loss: 0.3430 - val_acc: 0.9449 Epoch 402/1000 328s 657ms/step - loss: 0.1900 - acc: 0.9884 - val_loss: 0.3664 - val_acc: 0.9419 Epoch 403/1000 329s 657ms/step - loss: 0.1913 - acc: 0.9875 - val_loss: 0.3469 - val_acc: 0.9459 Epoch 404/1000 329s 657ms/step - loss: 0.1924 - acc: 0.9872 - val_loss: 0.3547 - val_acc: 0.9452 Epoch 405/1000 328s 657ms/step - loss: 0.1900 - acc: 0.9887 - val_loss: 0.3501 - val_acc: 0.9441 Epoch 406/1000 328s 657ms/step - loss: 0.1911 - acc: 0.9872 - val_loss: 0.3573 - val_acc: 0.9431 Epoch 407/1000 329s 657ms/step - loss: 0.1874 - acc: 0.9886 - val_loss: 0.3519 - val_acc: 0.9460 Epoch 408/1000 329s 657ms/step - loss: 0.1926 - acc: 0.9870 - val_loss: 0.3478 - val_acc: 0.9462 Epoch 409/1000 329s 657ms/step - loss: 0.1916 - acc: 0.9869 - val_loss: 0.3500 - val_acc: 0.9449 Epoch 410/1000 328s 657ms/step - loss: 0.1915 - acc: 0.9870 - val_loss: 0.3512 - val_acc: 0.9452 Epoch 411/1000 329s 658ms/step - loss: 0.1876 - acc: 0.9886 - val_loss: 0.3431 - val_acc: 0.9435 Epoch 412/1000 331s 662ms/step - loss: 0.1951 - acc: 0.9859 - val_loss: 0.3366 - val_acc: 0.9466 Epoch 413/1000 329s 657ms/step - loss: 0.1895 - acc: 0.9876 - val_loss: 0.3440 - val_acc: 0.9437 Epoch 414/1000 328s 657ms/step - loss: 0.1882 - acc: 0.9882 - val_loss: 0.3619 - val_acc: 0.9400 Epoch 415/1000 328s 657ms/step - loss: 0.1893 - acc: 0.9880 - val_loss: 0.3529 - val_acc: 0.9424 Epoch 416/1000 328s 657ms/step - loss: 0.1877 - acc: 0.9880 - val_loss: 0.3540 - val_acc: 0.9433 Epoch 417/1000 329s 657ms/step - loss: 0.1873 - acc: 0.9884 - val_loss: 0.3545 - val_acc: 0.9424 Epoch 418/1000 329s 657ms/step - loss: 0.1889 - acc: 0.9874 - val_loss: 0.3537 - val_acc: 0.9426 Epoch 419/1000 329s 657ms/step - loss: 0.1903 - acc: 0.9871 - val_loss: 0.3464 - val_acc: 0.9459 Epoch 420/1000 328s 657ms/step - loss: 0.1900 - acc: 0.9874 - val_loss: 0.3565 - val_acc: 0.9428 Epoch 421/1000 329s 657ms/step - loss: 0.1872 - acc: 0.9884 - val_loss: 0.3565 - val_acc: 0.9424 Epoch 422/1000 330s 659ms/step - loss: 0.1890 - acc: 0.9875 - val_loss: 0.3470 - val_acc: 0.9450 Epoch 423/1000 329s 658ms/step - loss: 0.1864 - acc: 0.9879 - val_loss: 0.3528 - val_acc: 0.9424 Epoch 424/1000 328s 657ms/step - loss: 0.1845 - acc: 0.9890 - val_loss: 0.3499 - val_acc: 0.9438 Epoch 425/1000 329s 658ms/step - loss: 0.1873 - acc: 0.9874 - val_loss: 0.3495 - val_acc: 0.9447 Epoch 426/1000 330s 661ms/step - loss: 0.1891 - acc: 0.9871 - val_loss: 0.3605 - val_acc: 0.9415 Epoch 427/1000 330s 661ms/step - loss: 0.1843 - acc: 0.9887 - val_loss: 0.3556 - val_acc: 0.9409 Epoch 428/1000 330s 659ms/step - loss: 0.1882 - acc: 0.9872 - val_loss: 0.3518 - val_acc: 0.9433 Epoch 429/1000 329s 657ms/step - loss: 0.1841 - acc: 0.9892 - val_loss: 0.3497 - val_acc: 0.9436 Epoch 430/1000 329s 657ms/step - loss: 0.1851 - acc: 0.9885 - val_loss: 0.3550 - val_acc: 0.9421 Epoch 431/1000 328s 657ms/step - loss: 0.1887 - acc: 0.9871 - val_loss: 0.3536 - val_acc: 0.9416 Epoch 432/1000 329s 657ms/step - loss: 0.1885 - acc: 0.9872 - val_loss: 0.3466 - val_acc: 0.9428 Epoch 433/1000 328s 657ms/step - loss: 0.1879 - acc: 0.9874 - val_loss: 0.3522 - val_acc: 0.9425 Epoch 434/1000 329s 658ms/step - loss: 0.1856 - acc: 0.9881 - val_loss: 0.3519 - val_acc: 0.9423 Epoch 435/1000 328s 657ms/step - loss: 0.1839 - acc: 0.9889 - val_loss: 0.3726 - val_acc: 0.9383 Epoch 436/1000 328s 657ms/step - loss: 0.1902 - acc: 0.9861 - val_loss: 0.3510 - val_acc: 0.9399 Epoch 437/1000 329s 658ms/step - loss: 0.1854 - acc: 0.9882 - val_loss: 0.3482 - val_acc: 0.9414 Epoch 438/1000 328s 657ms/step - loss: 0.1847 - acc: 0.9883 - val_loss: 0.3570 - val_acc: 0.9415 Epoch 439/1000 328s 657ms/step - loss: 0.1857 - acc: 0.9884 - val_loss: 0.3522 - val_acc: 0.9433 Epoch 440/1000 329s 657ms/step - loss: 0.1839 - acc: 0.9888 - val_loss: 0.3434 - val_acc: 0.9442 Epoch 441/1000 328s 657ms/step - loss: 0.1876 - acc: 0.9874 - val_loss: 0.3512 - val_acc: 0.9401 Epoch 442/1000 329s 657ms/step - loss: 0.1866 - acc: 0.9877 - val_loss: 0.3548 - val_acc: 0.9422 Epoch 443/1000 334s 669ms/step - loss: 0.1852 - acc: 0.9883 - val_loss: 0.3458 - val_acc: 0.9443 Epoch 444/1000 329s 658ms/step - loss: 0.1884 - acc: 0.9870 - val_loss: 0.3534 - val_acc: 0.9417 Epoch 445/1000 328s 657ms/step - loss: 0.1840 - acc: 0.9885 - val_loss: 0.3517 - val_acc: 0.9419 Epoch 446/1000 329s 657ms/step - loss: 0.1839 - acc: 0.9885 - val_loss: 0.3501 - val_acc: 0.9439 Epoch 447/1000 328s 657ms/step - loss: 0.1840 - acc: 0.9883 - val_loss: 0.3399 - val_acc: 0.9455 Epoch 448/1000 329s 657ms/step - loss: 0.1835 - acc: 0.9883 - val_loss: 0.3629 - val_acc: 0.9417 Epoch 449/1000 330s 659ms/step - loss: 0.1815 - acc: 0.9896 - val_loss: 0.3553 - val_acc: 0.9434 Epoch 450/1000 329s 658ms/step - loss: 0.1841 - acc: 0.9877 - val_loss: 0.3474 - val_acc: 0.9454 Epoch 451/1000 330s 660ms/step - loss: 0.1816 - acc: 0.9890 - val_loss: 0.3567 - val_acc: 0.9397 Epoch 452/1000 330s 660ms/step - loss: 0.1836 - acc: 0.9883 - val_loss: 0.3364 - val_acc: 0.9469 Epoch 453/1000 329s 658ms/step - loss: 0.1818 - acc: 0.9886 - val_loss: 0.3436 - val_acc: 0.9454 Epoch 454/1000 329s 658ms/step - loss: 0.1781 - acc: 0.9902 - val_loss: 0.3314 - val_acc: 0.9465 Epoch 455/1000 329s 657ms/step - loss: 0.1814 - acc: 0.9884 - val_loss: 0.3400 - val_acc: 0.9446 Epoch 456/1000 329s 657ms/step - loss: 0.1825 - acc: 0.9884 - val_loss: 0.3421 - val_acc: 0.9442 Epoch 457/1000 329s 657ms/step - loss: 0.1848 - acc: 0.9873 - val_loss: 0.3504 - val_acc: 0.9433 Epoch 458/1000 328s 657ms/step - loss: 0.1817 - acc: 0.9886 - val_loss: 0.3600 - val_acc: 0.9422 Epoch 459/1000 329s 657ms/step - loss: 0.1861 - acc: 0.9872 - val_loss: 0.3680 - val_acc: 0.9384 Epoch 460/1000 329s 659ms/step - loss: 0.1831 - acc: 0.9879 - val_loss: 0.3521 - val_acc: 0.9419 Epoch 461/1000 329s 658ms/step - loss: 0.1844 - acc: 0.9877 - val_loss: 0.3513 - val_acc: 0.9403 Epoch 462/1000 328s 657ms/step - loss: 0.1837 - acc: 0.9879 - val_loss: 0.3626 - val_acc: 0.9387 Epoch 463/1000 328s 657ms/step - loss: 0.1812 - acc: 0.9887 - val_loss: 0.3557 - val_acc: 0.9431 Epoch 464/1000 329s 657ms/step - loss: 0.1848 - acc: 0.9875 - val_loss: 0.3440 - val_acc: 0.9448 Epoch 465/1000 328s 657ms/step - loss: 0.1801 - acc: 0.9894 - val_loss: 0.3510 - val_acc: 0.9440 Epoch 466/1000 328s 657ms/step - loss: 0.1853 - acc: 0.9875 - val_loss: 0.3525 - val_acc: 0.9391 Epoch 467/1000 329s 657ms/step - loss: 0.1828 - acc: 0.9883 - val_loss: 0.3530 - val_acc: 0.9422 Epoch 468/1000 328s 657ms/step - loss: 0.1820 - acc: 0.9886 - val_loss: 0.3529 - val_acc: 0.9403 Epoch 469/1000 328s 657ms/step - loss: 0.1795 - acc: 0.9895 - val_loss: 0.3502 - val_acc: 0.9428 Epoch 470/1000 328s 657ms/step - loss: 0.1820 - acc: 0.9882 - val_loss: 0.3575 - val_acc: 0.9421 Epoch 471/1000 329s 657ms/step - loss: 0.1801 - acc: 0.9892 - val_loss: 0.3509 - val_acc: 0.9416 Epoch 472/1000 329s 657ms/step - loss: 0.1813 - acc: 0.9887 - val_loss: 0.3361 - val_acc: 0.9469 Epoch 473/1000 329s 658ms/step - loss: 0.1789 - acc: 0.9895 - val_loss: 0.3589 - val_acc: 0.9412 Epoch 474/1000 329s 657ms/step - loss: 0.1848 - acc: 0.9867 - val_loss: 0.3478 - val_acc: 0.9427 Epoch 475/1000 328s 657ms/step - loss: 0.1810 - acc: 0.9894 - val_loss: 0.3494 - val_acc: 0.9436 Epoch 476/1000 329s 657ms/step - loss: 0.1837 - acc: 0.9876 - val_loss: 0.3572 - val_acc: 0.9415 Epoch 477/1000 328s 657ms/step - loss: 0.1795 - acc: 0.9898 - val_loss: 0.3572 - val_acc: 0.9409 Epoch 478/1000 329s 657ms/step - loss: 0.1797 - acc: 0.9897 - val_loss: 0.3639 - val_acc: 0.9373 Epoch 479/1000 329s 657ms/step - loss: 0.1801 - acc: 0.9891 - val_loss: 0.3454 - val_acc: 0.9440 Epoch 480/1000 329s 657ms/step - loss: 0.1797 - acc: 0.9887 - val_loss: 0.3468 - val_acc: 0.9443 Epoch 481/1000 328s 657ms/step - loss: 0.1827 - acc: 0.9877 - val_loss: 0.3535 - val_acc: 0.9381 Epoch 482/1000 329s 657ms/step - loss: 0.1837 - acc: 0.9881 - val_loss: 0.3552 - val_acc: 0.9410 Epoch 483/1000 329s 657ms/step - loss: 0.1807 - acc: 0.9887 - val_loss: 0.3533 - val_acc: 0.9434 Epoch 484/1000 328s 657ms/step - loss: 0.1824 - acc: 0.9879 - val_loss: 0.3630 - val_acc: 0.9394 Epoch 485/1000 329s 657ms/step - loss: 0.1800 - acc: 0.9888 - val_loss: 0.3462 - val_acc: 0.9434 Epoch 486/1000 329s 657ms/step - loss: 0.1782 - acc: 0.9895 - val_loss: 0.3476 - val_acc: 0.9441 Epoch 487/1000 329s 657ms/step - loss: 0.1823 - acc: 0.9881 - val_loss: 0.3564 - val_acc: 0.9409 Epoch 488/1000 329s 657ms/step - loss: 0.1804 - acc: 0.9889 - val_loss: 0.3665 - val_acc: 0.9390 Epoch 489/1000 328s 657ms/step - loss: 0.1866 - acc: 0.9864 - val_loss: 0.3538 - val_acc: 0.9397 Epoch 490/1000 329s 657ms/step - loss: 0.1808 - acc: 0.9889 - val_loss: 0.3444 - val_acc: 0.9453 Epoch 491/1000 329s 657ms/step - loss: 0.1814 - acc: 0.9884 - val_loss: 0.3515 - val_acc: 0.9424 Epoch 492/1000 329s 657ms/step - loss: 0.1819 - acc: 0.9879 - val_loss: 0.3566 - val_acc: 0.9418 Epoch 493/1000 328s 657ms/step - loss: 0.1840 - acc: 0.9871 - val_loss: 0.3693 - val_acc: 0.9382 Epoch 494/1000 329s 657ms/step - loss: 0.1798 - acc: 0.9892 - val_loss: 0.3536 - val_acc: 0.9424 Epoch 495/1000 328s 657ms/step - loss: 0.1787 - acc: 0.9896 - val_loss: 0.3460 - val_acc: 0.9432 Epoch 496/1000 329s 657ms/step - loss: 0.1808 - acc: 0.9887 - val_loss: 0.3443 - val_acc: 0.9438 Epoch 497/1000 329s 658ms/step - loss: 0.1799 - acc: 0.9889 - val_loss: 0.3482 - val_acc: 0.9425 Epoch 498/1000 328s 657ms/step - loss: 0.1801 - acc: 0.9887 - val_loss: 0.3591 - val_acc: 0.9406 Epoch 499/1000 328s 657ms/step - loss: 0.1827 - acc: 0.9883 - val_loss: 0.3431 - val_acc: 0.9422 Epoch 500/1000 328s 657ms/step - loss: 0.1813 - acc: 0.9881 - val_loss: 0.3502 - val_acc: 0.9406 Epoch 501/1000 328s 657ms/step - loss: 0.1807 - acc: 0.9886 - val_loss: 0.3563 - val_acc: 0.9396 Epoch 502/1000 328s 657ms/step - loss: 0.1795 - acc: 0.9894 - val_loss: 0.3465 - val_acc: 0.9424 Epoch 503/1000 329s 657ms/step - loss: 0.1805 - acc: 0.9890 - val_loss: 0.3411 - val_acc: 0.9447 Epoch 504/1000 328s 657ms/step - loss: 0.1803 - acc: 0.9886 - val_loss: 0.3550 - val_acc: 0.9397 Epoch 505/1000 329s 658ms/step - loss: 0.1812 - acc: 0.9885 - val_loss: 0.3505 - val_acc: 0.9412 Epoch 506/1000 328s 657ms/step - loss: 0.1800 - acc: 0.9887 - val_loss: 0.3428 - val_acc: 0.9425 Epoch 507/1000 329s 657ms/step - loss: 0.1795 - acc: 0.9892 - val_loss: 0.3355 - val_acc: 0.9464 Epoch 508/1000 328s 656ms/step - loss: 0.1800 - acc: 0.9884 - val_loss: 0.3405 - val_acc: 0.9436 Epoch 509/1000 328s 657ms/step - loss: 0.1769 - acc: 0.9894 - val_loss: 0.3639 - val_acc: 0.9405 Epoch 510/1000 328s 657ms/step - loss: 0.1812 - acc: 0.9879 - val_loss: 0.3464 - val_acc: 0.9416 Epoch 511/1000 328s 656ms/step - loss: 0.1779 - acc: 0.9895 - val_loss: 0.3640 - val_acc: 0.9394 Epoch 512/1000 328s 657ms/step - loss: 0.1776 - acc: 0.9893 - val_loss: 0.3481 - val_acc: 0.9425 Epoch 513/1000 328s 657ms/step - loss: 0.1808 - acc: 0.9887 - val_loss: 0.3457 - val_acc: 0.9437 Epoch 514/1000 328s 657ms/step - loss: 0.1797 - acc: 0.9885 - val_loss: 0.3498 - val_acc: 0.9413 Epoch 515/1000 328s 657ms/step - loss: 0.1746 - acc: 0.9908 - val_loss: 0.3429 - val_acc: 0.9462 Epoch 516/1000 328s 656ms/step - loss: 0.1783 - acc: 0.9892 - val_loss: 0.3475 - val_acc: 0.9426 Epoch 517/1000 330s 660ms/step - loss: 0.1804 - acc: 0.9884 - val_loss: 0.3390 - val_acc: 0.9447 Epoch 518/1000 329s 658ms/step - loss: 0.1814 - acc: 0.9877 - val_loss: 0.3589 - val_acc: 0.9405 Epoch 519/1000 329s 658ms/step - loss: 0.1795 - acc: 0.9892 - val_loss: 0.3434 - val_acc: 0.9431 Epoch 520/1000 329s 658ms/step - loss: 0.1765 - acc: 0.9903 - val_loss: 0.3614 - val_acc: 0.9398 Epoch 521/1000 329s 658ms/step - loss: 0.1827 - acc: 0.9875 - val_loss: 0.3328 - val_acc: 0.9441 Epoch 522/1000 329s 658ms/step - loss: 0.1779 - acc: 0.9894 - val_loss: 0.3509 - val_acc: 0.9400 Epoch 523/1000 329s 658ms/step - loss: 0.1762 - acc: 0.9899 - val_loss: 0.3604 - val_acc: 0.9393 Epoch 524/1000 329s 658ms/step - loss: 0.1798 - acc: 0.9887 - val_loss: 0.3454 - val_acc: 0.9432 Epoch 525/1000 329s 658ms/step - loss: 0.1766 - acc: 0.9900 - val_loss: 0.3524 - val_acc: 0.9412 Epoch 526/1000 332s 663ms/step - loss: 0.1797 - acc: 0.9879 - val_loss: 0.3484 - val_acc: 0.9423 Epoch 527/1000 329s 658ms/step - loss: 0.1815 - acc: 0.9882 - val_loss: 0.3347 - val_acc: 0.9457 Epoch 528/1000 328s 657ms/step - loss: 0.1790 - acc: 0.9887 - val_loss: 0.3603 - val_acc: 0.9409 Epoch 529/1000 329s 659ms/step - loss: 0.1765 - acc: 0.9894 - val_loss: 0.3525 - val_acc: 0.9425 Epoch 530/1000 329s 659ms/step - loss: 0.1784 - acc: 0.9887 - val_loss: 0.3437 - val_acc: 0.9456 Epoch 531/1000 329s 658ms/step - loss: 0.1782 - acc: 0.9891 - val_loss: 0.3416 - val_acc: 0.9449 Epoch 532/1000 329s 659ms/step - loss: 0.1787 - acc: 0.9891 - val_loss: 0.3309 - val_acc: 0.9475 Epoch 533/1000 330s 659ms/step - loss: 0.1778 - acc: 0.9896 - val_loss: 0.3534 - val_acc: 0.9402 Epoch 534/1000 331s 663ms/step - loss: 0.1764 - acc: 0.9897 - val_loss: 0.3421 - val_acc: 0.9428 Epoch 535/1000 331s 662ms/step - loss: 0.1766 - acc: 0.9896 - val_loss: 0.3353 - val_acc: 0.9431 Epoch 536/1000 329s 658ms/step - loss: 0.1809 - acc: 0.9875 - val_loss: 0.3330 - val_acc: 0.9452 Epoch 537/1000 329s 658ms/step - loss: 0.1782 - acc: 0.9891 - val_loss: 0.3537 - val_acc: 0.9412 Epoch 538/1000 329s 658ms/step - loss: 0.1774 - acc: 0.9889 - val_loss: 0.3371 - val_acc: 0.9459 Epoch 539/1000 329s 658ms/step - loss: 0.1795 - acc: 0.9880 - val_loss: 0.3404 - val_acc: 0.9450 Epoch 540/1000 329s 658ms/step - loss: 0.1783 - acc: 0.9890 - val_loss: 0.3391 - val_acc: 0.9434 Epoch 541/1000 329s 658ms/step - loss: 0.1813 - acc: 0.9876 - val_loss: 0.3570 - val_acc: 0.9411 Epoch 542/1000 329s 658ms/step - loss: 0.1777 - acc: 0.9889 - val_loss: 0.3529 - val_acc: 0.9382 Epoch 543/1000 329s 658ms/step - loss: 0.1794 - acc: 0.9890 - val_loss: 0.3580 - val_acc: 0.9393 Epoch 544/1000 329s 659ms/step - loss: 0.1737 - acc: 0.9909 - val_loss: 0.3399 - val_acc: 0.9444 Epoch 545/1000 329s 658ms/step - loss: 0.1764 - acc: 0.9902 - val_loss: 0.3457 - val_acc: 0.9444 Epoch 546/1000 329s 658ms/step - loss: 0.1752 - acc: 0.9898 - val_loss: 0.3448 - val_acc: 0.9447 Epoch 547/1000 329s 658ms/step - loss: 0.1772 - acc: 0.9886 - val_loss: 0.3508 - val_acc: 0.9405 Epoch 548/1000 329s 658ms/step - loss: 0.1811 - acc: 0.9877 - val_loss: 0.3537 - val_acc: 0.9409 Epoch 549/1000 329s 658ms/step - loss: 0.1790 - acc: 0.9890 - val_loss: 0.3448 - val_acc: 0.9439 Epoch 550/1000 328s 657ms/step - loss: 0.1798 - acc: 0.9886 - val_loss: 0.3388 - val_acc: 0.9427 Epoch 551/1000 329s 658ms/step - loss: 0.1814 - acc: 0.9878 - val_loss: 0.3373 - val_acc: 0.9446 Epoch 552/1000 329s 658ms/step - loss: 0.1785 - acc: 0.9886 - val_loss: 0.3527 - val_acc: 0.9397 Epoch 553/1000 329s 658ms/step - loss: 0.1805 - acc: 0.9882 - val_loss: 0.3534 - val_acc: 0.9412 Epoch 554/1000 329s 658ms/step - loss: 0.1796 - acc: 0.9881 - val_loss: 0.3445 - val_acc: 0.9420 Epoch 555/1000 329s 658ms/step - loss: 0.1777 - acc: 0.9895 - val_loss: 0.3350 - val_acc: 0.9468 Epoch 556/1000 329s 657ms/step - loss: 0.1765 - acc: 0.9895 - val_loss: 0.3468 - val_acc: 0.9417 Epoch 557/1000 329s 657ms/step - loss: 0.1793 - acc: 0.9886 - val_loss: 0.3513 - val_acc: 0.9400 Epoch 558/1000 329s 658ms/step - loss: 0.1754 - acc: 0.9896 - val_loss: 0.3661 - val_acc: 0.9386 Epoch 559/1000 329s 658ms/step - loss: 0.1775 - acc: 0.9892 - val_loss: 0.3534 - val_acc: 0.9420 Epoch 560/1000 329s 658ms/step - loss: 0.1785 - acc: 0.9891 - val_loss: 0.3369 - val_acc: 0.9423 Epoch 561/1000 328s 657ms/step - loss: 0.1787 - acc: 0.9884 - val_loss: 0.3476 - val_acc: 0.9403 Epoch 562/1000 328s 657ms/step - loss: 0.1773 - acc: 0.9895 - val_loss: 0.3449 - val_acc: 0.9410 Epoch 563/1000 328s 657ms/step - loss: 0.1735 - acc: 0.9908 - val_loss: 0.3369 - val_acc: 0.9442 Epoch 564/1000 329s 657ms/step - loss: 0.1751 - acc: 0.9897 - val_loss: 0.3415 - val_acc: 0.9443 Epoch 565/1000 329s 657ms/step - loss: 0.1750 - acc: 0.9893 - val_loss: 0.3506 - val_acc: 0.9412 Epoch 566/1000 329s 657ms/step - loss: 0.1783 - acc: 0.9886 - val_loss: 0.3459 - val_acc: 0.9419 Epoch 567/1000 329s 657ms/step - loss: 0.1771 - acc: 0.9888 - val_loss: 0.3560 - val_acc: 0.9405 Epoch 568/1000 329s 657ms/step - loss: 0.1795 - acc: 0.9882 - val_loss: 0.3467 - val_acc: 0.9446 Epoch 569/1000 329s 657ms/step - loss: 0.1797 - acc: 0.9882 - val_loss: 0.3252 - val_acc: 0.9485 Epoch 570/1000 329s 657ms/step - loss: 0.1753 - acc: 0.9897 - val_loss: 0.3488 - val_acc: 0.9433 Epoch 571/1000 328s 657ms/step - loss: 0.1787 - acc: 0.9885 - val_loss: 0.3395 - val_acc: 0.9437 Epoch 572/1000 329s 657ms/step - loss: 0.1804 - acc: 0.9883 - val_loss: 0.3366 - val_acc: 0.9437 Epoch 573/1000 329s 658ms/step - loss: 0.1756 - acc: 0.9898 - val_loss: 0.3479 - val_acc: 0.9451 Epoch 574/1000 329s 658ms/step - loss: 0.1776 - acc: 0.9886 - val_loss: 0.3471 - val_acc: 0.9424 Epoch 575/1000 329s 658ms/step - loss: 0.1791 - acc: 0.9888 - val_loss: 0.3404 - val_acc: 0.9465 Epoch 576/1000 329s 657ms/step - loss: 0.1785 - acc: 0.9893 - val_loss: 0.3567 - val_acc: 0.9396 Epoch 577/1000 329s 658ms/step - loss: 0.1779 - acc: 0.9889 - val_loss: 0.3452 - val_acc: 0.9418 Epoch 578/1000 329s 657ms/step - loss: 0.1758 - acc: 0.9896 - val_loss: 0.3450 - val_acc: 0.9440 Epoch 579/1000 329s 657ms/step - loss: 0.1775 - acc: 0.9887 - val_loss: 0.3361 - val_acc: 0.9458 Epoch 580/1000 329s 658ms/step - loss: 0.1750 - acc: 0.9899 - val_loss: 0.3418 - val_acc: 0.9479 Epoch 581/1000 329s 658ms/step - loss: 0.1721 - acc: 0.9912 - val_loss: 0.3549 - val_acc: 0.9425 Epoch 582/1000 329s 657ms/step - loss: 0.1765 - acc: 0.9894 - val_loss: 0.3358 - val_acc: 0.9446 Epoch 583/1000 329s 658ms/step - loss: 0.1760 - acc: 0.9897 - val_loss: 0.3409 - val_acc: 0.9451 Epoch 584/1000 329s 658ms/step - loss: 0.1755 - acc: 0.9893 - val_loss: 0.3453 - val_acc: 0.9425 Epoch 585/1000 329s 658ms/step - loss: 0.1788 - acc: 0.9884 - val_loss: 0.3428 - val_acc: 0.9421 Epoch 586/1000 329s 658ms/step - loss: 0.1772 - acc: 0.9885 - val_loss: 0.3503 - val_acc: 0.9408 Epoch 587/1000 329s 657ms/step - loss: 0.1774 - acc: 0.9885 - val_loss: 0.3441 - val_acc: 0.9444 Epoch 588/1000 329s 657ms/step - loss: 0.1730 - acc: 0.9909 - val_loss: 0.3379 - val_acc: 0.9461 Epoch 589/1000 329s 658ms/step - loss: 0.1787 - acc: 0.9879 - val_loss: 0.3538 - val_acc: 0.9408 Epoch 590/1000 329s 658ms/step - loss: 0.1769 - acc: 0.9891 - val_loss: 0.3490 - val_acc: 0.9435 Epoch 591/1000 329s 658ms/step - loss: 0.1751 - acc: 0.9898 - val_loss: 0.3517 - val_acc: 0.9405 Epoch 592/1000 329s 658ms/step - loss: 0.1757 - acc: 0.9897 - val_loss: 0.3406 - val_acc: 0.9428 Epoch 593/1000 329s 658ms/step - loss: 0.1771 - acc: 0.9891 - val_loss: 0.3388 - val_acc: 0.9441 Epoch 594/1000 329s 658ms/step - loss: 0.1757 - acc: 0.9898 - val_loss: 0.3501 - val_acc: 0.9415 Epoch 595/1000 329s 657ms/step - loss: 0.1755 - acc: 0.9896 - val_loss: 0.3473 - val_acc: 0.9416 Epoch 596/1000 329s 658ms/step - loss: 0.1728 - acc: 0.9901 - val_loss: 0.3366 - val_acc: 0.9443 Epoch 597/1000 329s 657ms/step - loss: 0.1748 - acc: 0.9896 - val_loss: 0.3571 - val_acc: 0.9413 Epoch 598/1000 329s 658ms/step - loss: 0.1767 - acc: 0.9889 - val_loss: 0.3485 - val_acc: 0.9421 Epoch 599/1000 329s 658ms/step - loss: 0.1778 - acc: 0.9887 - val_loss: 0.3409 - val_acc: 0.9422 Epoch 600/1000 329s 658ms/step - loss: 0.1759 - acc: 0.9894 - val_loss: 0.3471 - val_acc: 0.9428 Epoch 601/1000 lr changed to 0.0009999999776482583 329s 657ms/step - loss: 0.1637 - acc: 0.9939 - val_loss: 0.3166 - val_acc: 0.9501 Epoch 602/1000 329s 657ms/step - loss: 0.1559 - acc: 0.9966 - val_loss: 0.3119 - val_acc: 0.9506 Epoch 603/1000 329s 657ms/step - loss: 0.1527 - acc: 0.9974 - val_loss: 0.3101 - val_acc: 0.9506 Epoch 604/1000 329s 658ms/step - loss: 0.1519 - acc: 0.9974 - val_loss: 0.3096 - val_acc: 0.9528 Epoch 605/1000 329s 658ms/step - loss: 0.1508 - acc: 0.9977 - val_loss: 0.3065 - val_acc: 0.9534 Epoch 606/1000 329s 658ms/step - loss: 0.1498 - acc: 0.9977 - val_loss: 0.3029 - val_acc: 0.9537 Epoch 607/1000 329s 657ms/step - loss: 0.1486 - acc: 0.9983 - val_loss: 0.3023 - val_acc: 0.9550 Epoch 608/1000 329s 658ms/step - loss: 0.1479 - acc: 0.9984 - val_loss: 0.3038 - val_acc: 0.9547 Epoch 609/1000 329s 658ms/step - loss: 0.1481 - acc: 0.9982 - val_loss: 0.3042 - val_acc: 0.9552 Epoch 610/1000 329s 658ms/step - loss: 0.1477 - acc: 0.9984 - val_loss: 0.3046 - val_acc: 0.9551 Epoch 611/1000 329s 658ms/step - loss: 0.1469 - acc: 0.9985 - val_loss: 0.3042 - val_acc: 0.9545 Epoch 612/1000 329s 657ms/step - loss: 0.1466 - acc: 0.9984 - val_loss: 0.3041 - val_acc: 0.9544 Epoch 613/1000 329s 658ms/step - loss: 0.1461 - acc: 0.9983 - val_loss: 0.3028 - val_acc: 0.9550 Epoch 614/1000 329s 658ms/step - loss: 0.1454 - acc: 0.9988 - val_loss: 0.3013 - val_acc: 0.9547 Epoch 615/1000 329s 657ms/step - loss: 0.1443 - acc: 0.9989 - val_loss: 0.3034 - val_acc: 0.9545 Epoch 616/1000 329s 657ms/step - loss: 0.1449 - acc: 0.9985 - val_loss: 0.3020 - val_acc: 0.9547 Epoch 617/1000 329s 658ms/step - loss: 0.1442 - acc: 0.9989 - val_loss: 0.3005 - val_acc: 0.9547 Epoch 618/1000 329s 658ms/step - loss: 0.1442 - acc: 0.9987 - val_loss: 0.3007 - val_acc: 0.9550 Epoch 619/1000 329s 657ms/step - loss: 0.1433 - acc: 0.9990 - val_loss: 0.3015 - val_acc: 0.9558 Epoch 620/1000 329s 658ms/step - loss: 0.1436 - acc: 0.9990 - val_loss: 0.3018 - val_acc: 0.9557 Epoch 621/1000 329s 658ms/step - loss: 0.1430 - acc: 0.9990 - val_loss: 0.3001 - val_acc: 0.9552 Epoch 622/1000 329s 657ms/step - loss: 0.1427 - acc: 0.9990 - val_loss: 0.2994 - val_acc: 0.9552 Epoch 623/1000 329s 658ms/step - loss: 0.1423 - acc: 0.9989 - val_loss: 0.2989 - val_acc: 0.9548 Epoch 624/1000 329s 658ms/step - loss: 0.1419 - acc: 0.9991 - val_loss: 0.2995 - val_acc: 0.9553 Epoch 625/1000 329s 658ms/step - loss: 0.1414 - acc: 0.9990 - val_loss: 0.3002 - val_acc: 0.9558 Epoch 626/1000 329s 657ms/step - loss: 0.1413 - acc: 0.9990 - val_loss: 0.3006 - val_acc: 0.9551 Epoch 627/1000 329s 657ms/step - loss: 0.1409 - acc: 0.9991 - val_loss: 0.2997 - val_acc: 0.9548 Epoch 628/1000 329s 657ms/step - loss: 0.1405 - acc: 0.9993 - val_loss: 0.3015 - val_acc: 0.9542 Epoch 629/1000 329s 657ms/step - loss: 0.1409 - acc: 0.9988 - val_loss: 0.3005 - val_acc: 0.9548 Epoch 630/1000 329s 658ms/step - loss: 0.1404 - acc: 0.9989 - val_loss: 0.3032 - val_acc: 0.9534 Epoch 631/1000 329s 658ms/step - loss: 0.1400 - acc: 0.9991 - val_loss: 0.3029 - val_acc: 0.9541 Epoch 632/1000 329s 658ms/step - loss: 0.1391 - acc: 0.9993 - val_loss: 0.3021 - val_acc: 0.9540 Epoch 633/1000 329s 658ms/step - loss: 0.1392 - acc: 0.9991 - val_loss: 0.3025 - val_acc: 0.9535 Epoch 634/1000 329s 657ms/step - loss: 0.1388 - acc: 0.9992 - val_loss: 0.3026 - val_acc: 0.9539 Epoch 635/1000 329s 658ms/step - loss: 0.1386 - acc: 0.9993 - val_loss: 0.3009 - val_acc: 0.9538 Epoch 636/1000 329s 658ms/step - loss: 0.1379 - acc: 0.9993 - val_loss: 0.3001 - val_acc: 0.9541 Epoch 637/1000 329s 658ms/step - loss: 0.1376 - acc: 0.9994 - val_loss: 0.3000 - val_acc: 0.9550 Epoch 638/1000 329s 657ms/step - loss: 0.1378 - acc: 0.9993 - val_loss: 0.2977 - val_acc: 0.9559 Epoch 639/1000 329s 658ms/step - loss: 0.1373 - acc: 0.9992 - val_loss: 0.2993 - val_acc: 0.9539 Epoch 640/1000 329s 658ms/step - loss: 0.1371 - acc: 0.9993 - val_loss: 0.2996 - val_acc: 0.9543 Epoch 641/1000 329s 658ms/step - loss: 0.1365 - acc: 0.9994 - val_loss: 0.3008 - val_acc: 0.9544 Epoch 642/1000 329s 658ms/step - loss: 0.1367 - acc: 0.9992 - val_loss: 0.3000 - val_acc: 0.9538 Epoch 643/1000 329s 658ms/step - loss: 0.1366 - acc: 0.9991 - val_loss: 0.2985 - val_acc: 0.9546 Epoch 644/1000 329s 657ms/step - loss: 0.1361 - acc: 0.9993 - val_loss: 0.2990 - val_acc: 0.9545 Epoch 645/1000 328s 657ms/step - loss: 0.1353 - acc: 0.9995 - val_loss: 0.2967 - val_acc: 0.9547 Epoch 646/1000 329s 658ms/step - loss: 0.1351 - acc: 0.9995 - val_loss: 0.2974 - val_acc: 0.9554 Epoch 647/1000 329s 658ms/step - loss: 0.1351 - acc: 0.9994 - val_loss: 0.2973 - val_acc: 0.9557 Epoch 648/1000 329s 658ms/step - loss: 0.1350 - acc: 0.9993 - val_loss: 0.2983 - val_acc: 0.9545 Epoch 649/1000 329s 658ms/step - loss: 0.1348 - acc: 0.9993 - val_loss: 0.2975 - val_acc: 0.9544 Epoch 650/1000 329s 658ms/step - loss: 0.1351 - acc: 0.9991 - val_loss: 0.2971 - val_acc: 0.9549 Epoch 651/1000 329s 658ms/step - loss: 0.1341 - acc: 0.9994 - val_loss: 0.2958 - val_acc: 0.9550 Epoch 652/1000 328s 657ms/step - loss: 0.1340 - acc: 0.9993 - val_loss: 0.2949 - val_acc: 0.9552 Epoch 653/1000 328s 657ms/step - loss: 0.1338 - acc: 0.9993 - val_loss: 0.2932 - val_acc: 0.9557 Epoch 654/1000 329s 657ms/step - loss: 0.1336 - acc: 0.9993 - val_loss: 0.2930 - val_acc: 0.9563 Epoch 655/1000 329s 657ms/step - loss: 0.1335 - acc: 0.9994 - val_loss: 0.2928 - val_acc: 0.9558 Epoch 656/1000 329s 657ms/step - loss: 0.1335 - acc: 0.9993 - val_loss: 0.2947 - val_acc: 0.9556 Epoch 657/1000 329s 658ms/step - loss: 0.1325 - acc: 0.9995 - val_loss: 0.2945 - val_acc: 0.9554 Epoch 658/1000 329s 658ms/step - loss: 0.1327 - acc: 0.9994 - val_loss: 0.2933 - val_acc: 0.9548 Epoch 659/1000 329s 658ms/step - loss: 0.1324 - acc: 0.9994 - val_loss: 0.2931 - val_acc: 0.9546 Epoch 660/1000 328s 657ms/step - loss: 0.1320 - acc: 0.9995 - val_loss: 0.2945 - val_acc: 0.9548 Epoch 661/1000 329s 657ms/step - loss: 0.1319 - acc: 0.9994 - val_loss: 0.2935 - val_acc: 0.9554 Epoch 662/1000 329s 657ms/step - loss: 0.1312 - acc: 0.9996 - val_loss: 0.2925 - val_acc: 0.9548 Epoch 663/1000 329s 658ms/step - loss: 0.1314 - acc: 0.9994 - val_loss: 0.2906 - val_acc: 0.9554 Epoch 664/1000 329s 657ms/step - loss: 0.1308 - acc: 0.9995 - val_loss: 0.2893 - val_acc: 0.9561 Epoch 665/1000 329s 657ms/step - loss: 0.1310 - acc: 0.9994 - val_loss: 0.2891 - val_acc: 0.9557 Epoch 666/1000 329s 657ms/step - loss: 0.1310 - acc: 0.9993 - val_loss: 0.2890 - val_acc: 0.9565 Epoch 667/1000 329s 658ms/step - loss: 0.1304 - acc: 0.9994 - val_loss: 0.2878 - val_acc: 0.9566 Epoch 668/1000 329s 657ms/step - loss: 0.1299 - acc: 0.9997 - val_loss: 0.2877 - val_acc: 0.9574 Epoch 669/1000 329s 658ms/step - loss: 0.1300 - acc: 0.9994 - val_loss: 0.2879 - val_acc: 0.9572 Epoch 670/1000 329s 657ms/step - loss: 0.1299 - acc: 0.9994 - val_loss: 0.2908 - val_acc: 0.9566 Epoch 671/1000 329s 659ms/step - loss: 0.1292 - acc: 0.9996 - val_loss: 0.2896 - val_acc: 0.9566 Epoch 672/1000 329s 658ms/step - loss: 0.1290 - acc: 0.9996 - val_loss: 0.2906 - val_acc: 0.9563 Epoch 673/1000 329s 657ms/step - loss: 0.1291 - acc: 0.9993 - val_loss: 0.2903 - val_acc: 0.9565 Epoch 674/1000 328s 656ms/step - loss: 0.1291 - acc: 0.9994 - val_loss: 0.2915 - val_acc: 0.9555 Epoch 675/1000 328s 657ms/step - loss: 0.1288 - acc: 0.9993 - val_loss: 0.2891 - val_acc: 0.9560 Epoch 676/1000 328s 657ms/step - loss: 0.1284 - acc: 0.9994 - val_loss: 0.2905 - val_acc: 0.9568 Epoch 677/1000 328s 657ms/step - loss: 0.1280 - acc: 0.9995 - val_loss: 0.2906 - val_acc: 0.9556 Epoch 678/1000 328s 657ms/step - loss: 0.1285 - acc: 0.9992 - val_loss: 0.2888 - val_acc: 0.9564 Epoch 679/1000 329s 657ms/step - loss: 0.1277 - acc: 0.9994 - val_loss: 0.2888 - val_acc: 0.9563 Epoch 680/1000 329s 657ms/step - loss: 0.1277 - acc: 0.9993 - val_loss: 0.2892 - val_acc: 0.9567 Epoch 681/1000 329s 658ms/step - loss: 0.1270 - acc: 0.9995 - val_loss: 0.2895 - val_acc: 0.9560 Epoch 682/1000 329s 658ms/step - loss: 0.1272 - acc: 0.9994 - val_loss: 0.2896 - val_acc: 0.9556 Epoch 683/1000 329s 657ms/step - loss: 0.1271 - acc: 0.9993 - val_loss: 0.2897 - val_acc: 0.9567 Epoch 684/1000 329s 657ms/step - loss: 0.1265 - acc: 0.9996 - val_loss: 0.2896 - val_acc: 0.9561 Epoch 685/1000 329s 657ms/step - loss: 0.1259 - acc: 0.9996 - val_loss: 0.2898 - val_acc: 0.9554 Epoch 686/1000 329s 657ms/step - loss: 0.1263 - acc: 0.9994 - val_loss: 0.2907 - val_acc: 0.9557 Epoch 687/1000 328s 657ms/step - loss: 0.1260 - acc: 0.9993 - val_loss: 0.2909 - val_acc: 0.9553 Epoch 688/1000 328s 657ms/step - loss: 0.1255 - acc: 0.9995 - val_loss: 0.2908 - val_acc: 0.9552 Epoch 689/1000 329s 657ms/step - loss: 0.1253 - acc: 0.9995 - val_loss: 0.2896 - val_acc: 0.9553 Epoch 690/1000 328s 657ms/step - loss: 0.1252 - acc: 0.9995 - val_loss: 0.2880 - val_acc: 0.9563 Epoch 691/1000 328s 657ms/step - loss: 0.1248 - acc: 0.9996 - val_loss: 0.2893 - val_acc: 0.9558 Epoch 692/1000 329s 658ms/step - loss: 0.1248 - acc: 0.9994 - val_loss: 0.2896 - val_acc: 0.9553 Epoch 693/1000 329s 657ms/step - loss: 0.1244 - acc: 0.9996 - val_loss: 0.2877 - val_acc: 0.9559 Epoch 694/1000 329s 658ms/step - loss: 0.1244 - acc: 0.9994 - val_loss: 0.2862 - val_acc: 0.9556 Epoch 695/1000 329s 658ms/step - loss: 0.1242 - acc: 0.9994 - val_loss: 0.2864 - val_acc: 0.9560 Epoch 696/1000 329s 657ms/step - loss: 0.1240 - acc: 0.9994 - val_loss: 0.2875 - val_acc: 0.9558 Epoch 697/1000 329s 658ms/step - loss: 0.1236 - acc: 0.9995 - val_loss: 0.2869 - val_acc: 0.9556 Epoch 698/1000 329s 658ms/step - loss: 0.1236 - acc: 0.9995 - val_loss: 0.2862 - val_acc: 0.9556 Epoch 699/1000 329s 657ms/step - loss: 0.1232 - acc: 0.9995 - val_loss: 0.2856 - val_acc: 0.9562 Epoch 700/1000 329s 657ms/step - loss: 0.1228 - acc: 0.9996 - val_loss: 0.2848 - val_acc: 0.9554 Epoch 701/1000 329s 657ms/step - loss: 0.1226 - acc: 0.9996 - val_loss: 0.2845 - val_acc: 0.9549 Epoch 702/1000 329s 658ms/step - loss: 0.1225 - acc: 0.9994 - val_loss: 0.2841 - val_acc: 0.9560 Epoch 703/1000 329s 658ms/step - loss: 0.1224 - acc: 0.9995 - val_loss: 0.2826 - val_acc: 0.9567 Epoch 704/1000 329s 658ms/step - loss: 0.1223 - acc: 0.9994 - val_loss: 0.2838 - val_acc: 0.9568 Epoch 705/1000 329s 658ms/step - loss: 0.1224 - acc: 0.9994 - val_loss: 0.2816 - val_acc: 0.9559 Epoch 706/1000 329s 657ms/step - loss: 0.1219 - acc: 0.9995 - val_loss: 0.2814 - val_acc: 0.9557 Epoch 707/1000 329s 657ms/step - loss: 0.1215 - acc: 0.9996 - val_loss: 0.2818 - val_acc: 0.9551 Epoch 708/1000 329s 657ms/step - loss: 0.1210 - acc: 0.9997 - val_loss: 0.2811 - val_acc: 0.9559 Epoch 709/1000 329s 658ms/step - loss: 0.1213 - acc: 0.9995 - val_loss: 0.2804 - val_acc: 0.9565 Epoch 710/1000 329s 658ms/step - loss: 0.1208 - acc: 0.9996 - val_loss: 0.2788 - val_acc: 0.9568 Epoch 711/1000 329s 658ms/step - loss: 0.1208 - acc: 0.9995 - val_loss: 0.2778 - val_acc: 0.9569 Epoch 712/1000 329s 658ms/step - loss: 0.1203 - acc: 0.9997 - val_loss: 0.2785 - val_acc: 0.9571 Epoch 713/1000 329s 658ms/step - loss: 0.1202 - acc: 0.9996 - val_loss: 0.2790 - val_acc: 0.9566 Epoch 714/1000 329s 658ms/step - loss: 0.1197 - acc: 0.9997 - val_loss: 0.2774 - val_acc: 0.9564 Epoch 715/1000 329s 657ms/step - loss: 0.1195 - acc: 0.9997 - val_loss: 0.2775 - val_acc: 0.9568 Epoch 716/1000 329s 657ms/step - loss: 0.1198 - acc: 0.9995 - val_loss: 0.2802 - val_acc: 0.9565 Epoch 717/1000 329s 658ms/step - loss: 0.1195 - acc: 0.9995 - val_loss: 0.2815 - val_acc: 0.9557 Epoch 718/1000 329s 658ms/step - loss: 0.1196 - acc: 0.9994 - val_loss: 0.2803 - val_acc: 0.9566 Epoch 719/1000 329s 659ms/step - loss: 0.1189 - acc: 0.9997 - val_loss: 0.2806 - val_acc: 0.9563 Epoch 720/1000 329s 658ms/step - loss: 0.1191 - acc: 0.9993 - val_loss: 0.2808 - val_acc: 0.9567 Epoch 721/1000 329s 658ms/step - loss: 0.1184 - acc: 0.9997 - val_loss: 0.2812 - val_acc: 0.9563 Epoch 722/1000 329s 658ms/step - loss: 0.1184 - acc: 0.9996 - val_loss: 0.2791 - val_acc: 0.9564 Epoch 723/1000 329s 657ms/step - loss: 0.1181 - acc: 0.9996 - val_loss: 0.2800 - val_acc: 0.9570 Epoch 724/1000 329s 658ms/step - loss: 0.1184 - acc: 0.9995 - val_loss: 0.2816 - val_acc: 0.9568 Epoch 725/1000 329s 657ms/step - loss: 0.1181 - acc: 0.9995 - val_loss: 0.2802 - val_acc: 0.9567 Epoch 726/1000 329s 657ms/step - loss: 0.1177 - acc: 0.9997 - val_loss: 0.2806 - val_acc: 0.9564 Epoch 727/1000 329s 658ms/step - loss: 0.1178 - acc: 0.9995 - val_loss: 0.2816 - val_acc: 0.9568 Epoch 728/1000 329s 657ms/step - loss: 0.1172 - acc: 0.9996 - val_loss: 0.2806 - val_acc: 0.9574 Epoch 729/1000 329s 658ms/step - loss: 0.1173 - acc: 0.9995 - val_loss: 0.2821 - val_acc: 0.9560 Epoch 730/1000 329s 658ms/step - loss: 0.1170 - acc: 0.9996 - val_loss: 0.2831 - val_acc: 0.9553 Epoch 731/1000 329s 658ms/step - loss: 0.1169 - acc: 0.9995 - val_loss: 0.2847 - val_acc: 0.9556 Epoch 732/1000 329s 658ms/step - loss: 0.1170 - acc: 0.9995 - val_loss: 0.2792 - val_acc: 0.9575 Epoch 733/1000 329s 658ms/step - loss: 0.1168 - acc: 0.9994 - val_loss: 0.2815 - val_acc: 0.9562 Epoch 734/1000 329s 658ms/step - loss: 0.1161 - acc: 0.9997 - val_loss: 0.2790 - val_acc: 0.9573 Epoch 735/1000 329s 658ms/step - loss: 0.1158 - acc: 0.9997 - val_loss: 0.2783 - val_acc: 0.9571 Epoch 736/1000 329s 658ms/step - loss: 0.1160 - acc: 0.9995 - val_loss: 0.2818 - val_acc: 0.9562 Epoch 737/1000 329s 658ms/step - loss: 0.1156 - acc: 0.9996 - val_loss: 0.2804 - val_acc: 0.9559 Epoch 738/1000 329s 658ms/step - loss: 0.1156 - acc: 0.9995 - val_loss: 0.2802 - val_acc: 0.9559 Epoch 739/1000 329s 658ms/step - loss: 0.1151 - acc: 0.9996 - val_loss: 0.2791 - val_acc: 0.9561 Epoch 740/1000 329s 657ms/step - loss: 0.1148 - acc: 0.9997 - val_loss: 0.2779 - val_acc: 0.9557 Epoch 741/1000 329s 658ms/step - loss: 0.1147 - acc: 0.9995 - val_loss: 0.2785 - val_acc: 0.9564 Epoch 742/1000 329s 658ms/step - loss: 0.1147 - acc: 0.9996 - val_loss: 0.2787 - val_acc: 0.9552 Epoch 743/1000 329s 658ms/step - loss: 0.1147 - acc: 0.9994 - val_loss: 0.2773 - val_acc: 0.9563 Epoch 744/1000 329s 658ms/step - loss: 0.1147 - acc: 0.9995 - val_loss: 0.2782 - val_acc: 0.9566 Epoch 745/1000 329s 658ms/step - loss: 0.1142 - acc: 0.9995 - val_loss: 0.2765 - val_acc: 0.9554 Epoch 746/1000 329s 657ms/step - loss: 0.1141 - acc: 0.9996 - val_loss: 0.2764 - val_acc: 0.9565 Epoch 747/1000 329s 658ms/step - loss: 0.1137 - acc: 0.9997 - val_loss: 0.2785 - val_acc: 0.9564 Epoch 748/1000 329s 658ms/step - loss: 0.1137 - acc: 0.9995 - val_loss: 0.2802 - val_acc: 0.9564 Epoch 749/1000 329s 658ms/step - loss: 0.1137 - acc: 0.9996 - val_loss: 0.2761 - val_acc: 0.9569 Epoch 750/1000 329s 658ms/step - loss: 0.1138 - acc: 0.9994 - val_loss: 0.2772 - val_acc: 0.9561 Epoch 751/1000 329s 658ms/step - loss: 0.1136 - acc: 0.9994 - val_loss: 0.2821 - val_acc: 0.9544 Epoch 752/1000 329s 658ms/step - loss: 0.1129 - acc: 0.9996 - val_loss: 0.2808 - val_acc: 0.9536 Epoch 753/1000 329s 659ms/step - loss: 0.1128 - acc: 0.9995 - val_loss: 0.2798 - val_acc: 0.9545 Epoch 754/1000 329s 658ms/step - loss: 0.1127 - acc: 0.9996 - val_loss: 0.2794 - val_acc: 0.9553 Epoch 755/1000 329s 658ms/step - loss: 0.1125 - acc: 0.9995 - val_loss: 0.2773 - val_acc: 0.9554 Epoch 756/1000 329s 659ms/step - loss: 0.1121 - acc: 0.9997 - val_loss: 0.2763 - val_acc: 0.9554 Epoch 757/1000 329s 658ms/step - loss: 0.1121 - acc: 0.9996 - val_loss: 0.2760 - val_acc: 0.9553 Epoch 758/1000 329s 658ms/step - loss: 0.1116 - acc: 0.9997 - val_loss: 0.2763 - val_acc: 0.9558 Epoch 759/1000 329s 658ms/step - loss: 0.1118 - acc: 0.9995 - val_loss: 0.2775 - val_acc: 0.9568 Epoch 760/1000 329s 658ms/step - loss: 0.1117 - acc: 0.9994 - val_loss: 0.2758 - val_acc: 0.9568 Epoch 761/1000 329s 659ms/step - loss: 0.1113 - acc: 0.9996 - val_loss: 0.2747 - val_acc: 0.9564 Epoch 762/1000 329s 658ms/step - loss: 0.1110 - acc: 0.9997 - val_loss: 0.2759 - val_acc: 0.9555 Epoch 763/1000 329s 658ms/step - loss: 0.1109 - acc: 0.9996 - val_loss: 0.2771 - val_acc: 0.9558 Epoch 764/1000 329s 658ms/step - loss: 0.1106 - acc: 0.9997 - val_loss: 0.2739 - val_acc: 0.9560 Epoch 765/1000 329s 658ms/step - loss: 0.1108 - acc: 0.9995 - val_loss: 0.2762 - val_acc: 0.9559 Epoch 766/1000 329s 658ms/step - loss: 0.1102 - acc: 0.9997 - val_loss: 0.2748 - val_acc: 0.9564 Epoch 767/1000 329s 657ms/step - loss: 0.1104 - acc: 0.9995 - val_loss: 0.2744 - val_acc: 0.9555 Epoch 768/1000 329s 658ms/step - loss: 0.1102 - acc: 0.9995 - val_loss: 0.2733 - val_acc: 0.9559 Epoch 769/1000 329s 659ms/step - loss: 0.1098 - acc: 0.9995 - val_loss: 0.2733 - val_acc: 0.9573 Epoch 770/1000 329s 659ms/step - loss: 0.1096 - acc: 0.9996 - val_loss: 0.2765 - val_acc: 0.9556 Epoch 771/1000 329s 658ms/step - loss: 0.1098 - acc: 0.9996 - val_loss: 0.2741 - val_acc: 0.9572 Epoch 772/1000 329s 658ms/step - loss: 0.1091 - acc: 0.9997 - val_loss: 0.2746 - val_acc: 0.9566 Epoch 773/1000 327s 655ms/step - loss: 0.1094 - acc: 0.9995 - val_loss: 0.2741 - val_acc: 0.9571 Epoch 774/1000 327s 654ms/step - loss: 0.1092 - acc: 0.9995 - val_loss: 0.2745 - val_acc: 0.9576 Epoch 775/1000 328s 655ms/step - loss: 0.1091 - acc: 0.9995 - val_loss: 0.2760 - val_acc: 0.9582 Epoch 776/1000 327s 655ms/step - loss: 0.1087 - acc: 0.9997 - val_loss: 0.2753 - val_acc: 0.9576 Epoch 777/1000 328s 655ms/step - loss: 0.1083 - acc: 0.9997 - val_loss: 0.2735 - val_acc: 0.9578 Epoch 778/1000 327s 654ms/step - loss: 0.1082 - acc: 0.9997 - val_loss: 0.2745 - val_acc: 0.9576 Epoch 779/1000 327s 654ms/step - loss: 0.1085 - acc: 0.9995 - val_loss: 0.2737 - val_acc: 0.9571 Epoch 780/1000 327s 654ms/step - loss: 0.1083 - acc: 0.9994 - val_loss: 0.2728 - val_acc: 0.9570 Epoch 781/1000 327s 654ms/step - loss: 0.1077 - acc: 0.9997 - val_loss: 0.2715 - val_acc: 0.9573 Epoch 782/1000 327s 654ms/step - loss: 0.1075 - acc: 0.9997 - val_loss: 0.2724 - val_acc: 0.9581 Epoch 783/1000 327s 654ms/step - loss: 0.1074 - acc: 0.9997 - val_loss: 0.2715 - val_acc: 0.9581 Epoch 784/1000 327s 654ms/step - loss: 0.1075 - acc: 0.9995 - val_loss: 0.2690 - val_acc: 0.9578 Epoch 785/1000 327s 654ms/step - loss: 0.1072 - acc: 0.9996 - val_loss: 0.2703 - val_acc: 0.9569 Epoch 786/1000 328s 656ms/step - loss: 0.1073 - acc: 0.9994 - val_loss: 0.2711 - val_acc: 0.9573 Epoch 787/1000 329s 657ms/step - loss: 0.1070 - acc: 0.9994 - val_loss: 0.2694 - val_acc: 0.9568 Epoch 788/1000 329s 657ms/step - loss: 0.1066 - acc: 0.9997 - val_loss: 0.2709 - val_acc: 0.9575 Epoch 789/1000 329s 657ms/step - loss: 0.1069 - acc: 0.9994 - val_loss: 0.2720 - val_acc: 0.9569 Epoch 790/1000 328s 655ms/step - loss: 0.1065 - acc: 0.9996 - val_loss: 0.2717 - val_acc: 0.9569 Epoch 791/1000 327s 654ms/step - loss: 0.1063 - acc: 0.9996 - val_loss: 0.2699 - val_acc: 0.9573 Epoch 792/1000 329s 657ms/step - loss: 0.1061 - acc: 0.9996 - val_loss: 0.2699 - val_acc: 0.9563 Epoch 793/1000 329s 657ms/step - loss: 0.1058 - acc: 0.9997 - val_loss: 0.2696 - val_acc: 0.9555 Epoch 794/1000 329s 657ms/step - loss: 0.1060 - acc: 0.9996 - val_loss: 0.2713 - val_acc: 0.9555 Epoch 795/1000 329s 658ms/step - loss: 0.1057 - acc: 0.9996 - val_loss: 0.2697 - val_acc: 0.9576 Epoch 796/1000 329s 658ms/step - loss: 0.1057 - acc: 0.9995 - val_loss: 0.2699 - val_acc: 0.9575 Epoch 797/1000 328s 656ms/step - loss: 0.1050 - acc: 0.9997 - val_loss: 0.2702 - val_acc: 0.9558 Epoch 798/1000 329s 658ms/step - loss: 0.1050 - acc: 0.9996 - val_loss: 0.2706 - val_acc: 0.9553 Epoch 799/1000 329s 658ms/step - loss: 0.1052 - acc: 0.9995 - val_loss: 0.2717 - val_acc: 0.9560 Epoch 800/1000 329s 657ms/step - loss: 0.1051 - acc: 0.9996 - val_loss: 0.2687 - val_acc: 0.9565 Epoch 801/1000 329s 657ms/step - loss: 0.1046 - acc: 0.9996 - val_loss: 0.2688 - val_acc: 0.9558 Epoch 802/1000 329s 657ms/step - loss: 0.1048 - acc: 0.9995 - val_loss: 0.2692 - val_acc: 0.9570 Epoch 803/1000 327s 655ms/step - loss: 0.1045 - acc: 0.9996 - val_loss: 0.2673 - val_acc: 0.9576 Epoch 804/1000 328s 656ms/step - loss: 0.1044 - acc: 0.9994 - val_loss: 0.2682 - val_acc: 0.9567 Epoch 805/1000 328s 655ms/step - loss: 0.1040 - acc: 0.9995 - val_loss: 0.2668 - val_acc: 0.9567 Epoch 806/1000 328s 655ms/step - loss: 0.1042 - acc: 0.9995 - val_loss: 0.2697 - val_acc: 0.9559 Epoch 807/1000 328s 655ms/step - loss: 0.1036 - acc: 0.9996 - val_loss: 0.2684 - val_acc: 0.9560 Epoch 808/1000 328s 655ms/step - loss: 0.1036 - acc: 0.9996 - val_loss: 0.2675 - val_acc: 0.9566 Epoch 809/1000 328s 656ms/step - loss: 0.1037 - acc: 0.9995 - val_loss: 0.2682 - val_acc: 0.9560 Epoch 810/1000 328s 656ms/step - loss: 0.1032 - acc: 0.9997 - val_loss: 0.2667 - val_acc: 0.9565 Epoch 811/1000 328s 655ms/step - loss: 0.1028 - acc: 0.9997 - val_loss: 0.2635 - val_acc: 0.9571 Epoch 812/1000 328s 656ms/step - loss: 0.1031 - acc: 0.9995 - val_loss: 0.2680 - val_acc: 0.9564 Epoch 813/1000 327s 655ms/step - loss: 0.1028 - acc: 0.9995 - val_loss: 0.2656 - val_acc: 0.9576 Epoch 814/1000 327s 655ms/step - loss: 0.1029 - acc: 0.9996 - val_loss: 0.2629 - val_acc: 0.9577 Epoch 815/1000 328s 656ms/step - loss: 0.1025 - acc: 0.9997 - val_loss: 0.2622 - val_acc: 0.9579 Epoch 816/1000 329s 658ms/step - loss: 0.1023 - acc: 0.9997 - val_loss: 0.2629 - val_acc: 0.9575 Epoch 817/1000 331s 661ms/step - loss: 0.1023 - acc: 0.9996 - val_loss: 0.2612 - val_acc: 0.9581 Epoch 818/1000 328s 656ms/step - loss: 0.1019 - acc: 0.9997 - val_loss: 0.2632 - val_acc: 0.9569 Epoch 819/1000 328s 657ms/step - loss: 0.1019 - acc: 0.9996 - val_loss: 0.2625 - val_acc: 0.9577 Epoch 820/1000 328s 656ms/step - loss: 0.1016 - acc: 0.9996 - val_loss: 0.2631 - val_acc: 0.9566 Epoch 821/1000 332s 665ms/step - loss: 0.1017 - acc: 0.9996 - val_loss: 0.2628 - val_acc: 0.9566 Epoch 822/1000 332s 664ms/step - loss: 0.1019 - acc: 0.9994 - val_loss: 0.2626 - val_acc: 0.9577 Epoch 823/1000 328s 656ms/step - loss: 0.1014 - acc: 0.9995 - val_loss: 0.2655 - val_acc: 0.9564 Epoch 824/1000 327s 654ms/step - loss: 0.1011 - acc: 0.9996 - val_loss: 0.2655 - val_acc: 0.9557 Epoch 825/1000 327s 654ms/step - loss: 0.1013 - acc: 0.9995 - val_loss: 0.2625 - val_acc: 0.9567 Epoch 826/1000 327s 654ms/step - loss: 0.1008 - acc: 0.9995 - val_loss: 0.2634 - val_acc: 0.9563 Epoch 827/1000 327s 654ms/step - loss: 0.1006 - acc: 0.9996 - val_loss: 0.2618 - val_acc: 0.9576 Epoch 828/1000 329s 658ms/step - loss: 0.1010 - acc: 0.9995 - val_loss: 0.2630 - val_acc: 0.9566 Epoch 829/1000 327s 654ms/step - loss: 0.1004 - acc: 0.9996 - val_loss: 0.2640 - val_acc: 0.9552 Epoch 830/1000 327s 653ms/step - loss: 0.1004 - acc: 0.9995 - val_loss: 0.2616 - val_acc: 0.9565 Epoch 831/1000 327s 654ms/step - loss: 0.1001 - acc: 0.9996 - val_loss: 0.2631 - val_acc: 0.9568 Epoch 832/1000 327s 653ms/step - loss: 0.1000 - acc: 0.9996 - val_loss: 0.2604 - val_acc: 0.9569 Epoch 833/1000 327s 654ms/step - loss: 0.0998 - acc: 0.9996 - val_loss: 0.2589 - val_acc: 0.9571 Epoch 834/1000 327s 654ms/step - loss: 0.0995 - acc: 0.9996 - val_loss: 0.2605 - val_acc: 0.9567 Epoch 835/1000 327s 653ms/step - loss: 0.0995 - acc: 0.9995 - val_loss: 0.2616 - val_acc: 0.9565 Epoch 836/1000 327s 653ms/step - loss: 0.0995 - acc: 0.9996 - val_loss: 0.2612 - val_acc: 0.9557 Epoch 837/1000 327s 653ms/step - loss: 0.0992 - acc: 0.9996 - val_loss: 0.2623 - val_acc: 0.9566 Epoch 838/1000 327s 653ms/step - loss: 0.0991 - acc: 0.9995 - val_loss: 0.2611 - val_acc: 0.9583 Epoch 839/1000 330s 660ms/step - loss: 0.0993 - acc: 0.9996 - val_loss: 0.2620 - val_acc: 0.9570 Epoch 840/1000 333s 666ms/step - loss: 0.0990 - acc: 0.9997 - val_loss: 0.2628 - val_acc: 0.9566 Epoch 841/1000 334s 668ms/step - loss: 0.0989 - acc: 0.9996 - val_loss: 0.2620 - val_acc: 0.9572 Epoch 842/1000 333s 667ms/step - loss: 0.0985 - acc: 0.9996 - val_loss: 0.2633 - val_acc: 0.9577 Epoch 843/1000 334s 667ms/step - loss: 0.0985 - acc: 0.9996 - val_loss: 0.2622 - val_acc: 0.9575 Epoch 844/1000 333s 667ms/step - loss: 0.0984 - acc: 0.9996 - val_loss: 0.2646 - val_acc: 0.9564 Epoch 845/1000 334s 667ms/step - loss: 0.0981 - acc: 0.9997 - val_loss: 0.2638 - val_acc: 0.9565 Epoch 846/1000 334s 667ms/step - loss: 0.0982 - acc: 0.9994 - val_loss: 0.2649 - val_acc: 0.9570 Epoch 847/1000 334s 667ms/step - loss: 0.0980 - acc: 0.9996 - val_loss: 0.2629 - val_acc: 0.9575 Epoch 848/1000 334s 669ms/step - loss: 0.0981 - acc: 0.9994 - val_loss: 0.2632 - val_acc: 0.9570 Epoch 849/1000 334s 669ms/step - loss: 0.0976 - acc: 0.9996 - val_loss: 0.2643 - val_acc: 0.9568 Epoch 850/1000 334s 667ms/step - loss: 0.0977 - acc: 0.9995 - val_loss: 0.2665 - val_acc: 0.9562 Epoch 851/1000 333s 667ms/step - loss: 0.0972 - acc: 0.9996 - val_loss: 0.2661 - val_acc: 0.9558 Epoch 852/1000 334s 667ms/step - loss: 0.0973 - acc: 0.9995 - val_loss: 0.2645 - val_acc: 0.9567 Epoch 853/1000 333s 667ms/step - loss: 0.0968 - acc: 0.9997 - val_loss: 0.2615 - val_acc: 0.9568 Epoch 854/1000 333s 667ms/step - loss: 0.0969 - acc: 0.9996 - val_loss: 0.2617 - val_acc: 0.9560 Epoch 855/1000 334s 667ms/step - loss: 0.0966 - acc: 0.9997 - val_loss: 0.2616 - val_acc: 0.9563 Epoch 856/1000 334s 667ms/step - loss: 0.0967 - acc: 0.9996 - val_loss: 0.2621 - val_acc: 0.9569 Epoch 857/1000 334s 667ms/step - loss: 0.0963 - acc: 0.9997 - val_loss: 0.2619 - val_acc: 0.9570 Epoch 858/1000 333s 667ms/step - loss: 0.0961 - acc: 0.9997 - val_loss: 0.2616 - val_acc: 0.9569 Epoch 859/1000 333s 667ms/step - loss: 0.0961 - acc: 0.9996 - val_loss: 0.2601 - val_acc: 0.9574 Epoch 860/1000 333s 667ms/step - loss: 0.0964 - acc: 0.9995 - val_loss: 0.2591 - val_acc: 0.9570 Epoch 861/1000 334s 667ms/step - loss: 0.0959 - acc: 0.9996 - val_loss: 0.2598 - val_acc: 0.9571 Epoch 862/1000 333s 667ms/step - loss: 0.0961 - acc: 0.9995 - val_loss: 0.2597 - val_acc: 0.9565 Epoch 863/1000 334s 668ms/step - loss: 0.0957 - acc: 0.9996 - val_loss: 0.2620 - val_acc: 0.9572 Epoch 864/1000 334s 669ms/step - loss: 0.0957 - acc: 0.9995 - val_loss: 0.2642 - val_acc: 0.9562 Epoch 865/1000 334s 668ms/step - loss: 0.0957 - acc: 0.9994 - val_loss: 0.2569 - val_acc: 0.9570 Epoch 866/1000 333s 667ms/step - loss: 0.0953 - acc: 0.9996 - val_loss: 0.2587 - val_acc: 0.9564 Epoch 867/1000 333s 667ms/step - loss: 0.0952 - acc: 0.9995 - val_loss: 0.2606 - val_acc: 0.9560 Epoch 868/1000 333s 667ms/step - loss: 0.0953 - acc: 0.9996 - val_loss: 0.2566 - val_acc: 0.9586 Epoch 869/1000 333s 667ms/step - loss: 0.0948 - acc: 0.9997 - val_loss: 0.2599 - val_acc: 0.9576 Epoch 870/1000 333s 667ms/step - loss: 0.0952 - acc: 0.9995 - val_loss: 0.2598 - val_acc: 0.9564 Epoch 871/1000 334s 667ms/step - loss: 0.0950 - acc: 0.9995 - val_loss: 0.2591 - val_acc: 0.9567 Epoch 872/1000 334s 667ms/step - loss: 0.0945 - acc: 0.9996 - val_loss: 0.2568 - val_acc: 0.9577 Epoch 873/1000 334s 667ms/step - loss: 0.0945 - acc: 0.9996 - val_loss: 0.2610 - val_acc: 0.9565 Epoch 874/1000 334s 667ms/step - loss: 0.0942 - acc: 0.9996 - val_loss: 0.2598 - val_acc: 0.9551 Epoch 875/1000 334s 669ms/step - loss: 0.0941 - acc: 0.9995 - val_loss: 0.2574 - val_acc: 0.9579 Epoch 876/1000 334s 669ms/step - loss: 0.0942 - acc: 0.9996 - val_loss: 0.2578 - val_acc: 0.9566 Epoch 877/1000 334s 667ms/step - loss: 0.0938 - acc: 0.9996 - val_loss: 0.2568 - val_acc: 0.9563 Epoch 878/1000 333s 667ms/step - loss: 0.0934 - acc: 0.9997 - val_loss: 0.2554 - val_acc: 0.9564 Epoch 879/1000 333s 666ms/step - loss: 0.0935 - acc: 0.9997 - val_loss: 0.2569 - val_acc: 0.9563 Epoch 880/1000 334s 667ms/step - loss: 0.0936 - acc: 0.9997 - val_loss: 0.2580 - val_acc: 0.9564 Epoch 881/1000 333s 667ms/step - loss: 0.0936 - acc: 0.9995 - val_loss: 0.2569 - val_acc: 0.9561 Epoch 882/1000 334s 667ms/step - loss: 0.0931 - acc: 0.9996 - val_loss: 0.2581 - val_acc: 0.9563 Epoch 883/1000 334s 667ms/step - loss: 0.0929 - acc: 0.9997 - val_loss: 0.2587 - val_acc: 0.9571 Epoch 884/1000 334s 667ms/step - loss: 0.0931 - acc: 0.9995 - val_loss: 0.2602 - val_acc: 0.9572 Epoch 885/1000 333s 667ms/step - loss: 0.0925 - acc: 0.9997 - val_loss: 0.2569 - val_acc: 0.9574 Epoch 886/1000 334s 667ms/step - loss: 0.0928 - acc: 0.9997 - val_loss: 0.2591 - val_acc: 0.9584 Epoch 887/1000 335s 669ms/step - loss: 0.0926 - acc: 0.9995 - val_loss: 0.2612 - val_acc: 0.9570 Epoch 888/1000 334s 669ms/step - loss: 0.0929 - acc: 0.9994 - val_loss: 0.2594 - val_acc: 0.9577 Epoch 889/1000 334s 668ms/step - loss: 0.0922 - acc: 0.9997 - val_loss: 0.2591 - val_acc: 0.9567 Epoch 890/1000 333s 667ms/step - loss: 0.0926 - acc: 0.9994 - val_loss: 0.2588 - val_acc: 0.9571 Epoch 891/1000 334s 667ms/step - loss: 0.0923 - acc: 0.9995 - val_loss: 0.2615 - val_acc: 0.9563 Epoch 892/1000 334s 667ms/step - loss: 0.0919 - acc: 0.9995 - val_loss: 0.2573 - val_acc: 0.9580 Epoch 893/1000 334s 667ms/step - loss: 0.0918 - acc: 0.9997 - val_loss: 0.2585 - val_acc: 0.9570 Epoch 894/1000 334s 667ms/step - loss: 0.0919 - acc: 0.9997 - val_loss: 0.2587 - val_acc: 0.9571 Epoch 895/1000 334s 667ms/step - loss: 0.0913 - acc: 0.9998 - val_loss: 0.2579 - val_acc: 0.9568 Epoch 896/1000 334s 668ms/step - loss: 0.0916 - acc: 0.9996 - val_loss: 0.2551 - val_acc: 0.9581 Epoch 897/1000 334s 667ms/step - loss: 0.0915 - acc: 0.9995 - val_loss: 0.2544 - val_acc: 0.9578 Epoch 898/1000 334s 667ms/step - loss: 0.0919 - acc: 0.9994 - val_loss: 0.2601 - val_acc: 0.9558 Epoch 899/1000 333s 667ms/step - loss: 0.0914 - acc: 0.9996 - val_loss: 0.2554 - val_acc: 0.9575 Epoch 900/1000 334s 667ms/step - loss: 0.0909 - acc: 0.9995 - val_loss: 0.2557 - val_acc: 0.9576 Epoch 901/1000 lr changed to 9.999999310821295e-05 333s 667ms/step - loss: 0.0910 - acc: 0.9995 - val_loss: 0.2555 - val_acc: 0.9575 Epoch 902/1000 330s 660ms/step - loss: 0.0911 - acc: 0.9995 - val_loss: 0.2548 - val_acc: 0.9576 Epoch 903/1000 327s 654ms/step - loss: 0.0912 - acc: 0.9995 - val_loss: 0.2552 - val_acc: 0.9576 Epoch 904/1000 327s 653ms/step - loss: 0.0910 - acc: 0.9995 - val_loss: 0.2545 - val_acc: 0.9572 Epoch 905/1000 327s 654ms/step - loss: 0.0904 - acc: 0.9998 - val_loss: 0.2548 - val_acc: 0.9575 Epoch 906/1000 327s 653ms/step - loss: 0.0905 - acc: 0.9998 - val_loss: 0.2549 - val_acc: 0.9572 Epoch 907/1000 327s 654ms/step - loss: 0.0908 - acc: 0.9995 - val_loss: 0.2546 - val_acc: 0.9573 Epoch 908/1000 327s 654ms/step - loss: 0.0908 - acc: 0.9995 - val_loss: 0.2542 - val_acc: 0.9573 Epoch 909/1000 327s 654ms/step - loss: 0.0910 - acc: 0.9994 - val_loss: 0.2539 - val_acc: 0.9578 Epoch 910/1000 327s 654ms/step - loss: 0.0905 - acc: 0.9996 - val_loss: 0.2538 - val_acc: 0.9575 Epoch 911/1000 327s 653ms/step - loss: 0.0908 - acc: 0.9996 - val_loss: 0.2537 - val_acc: 0.9574 Epoch 912/1000 327s 654ms/step - loss: 0.0906 - acc: 0.9996 - val_loss: 0.2534 - val_acc: 0.9573 Epoch 913/1000 327s 653ms/step - loss: 0.0903 - acc: 0.9998 - val_loss: 0.2538 - val_acc: 0.9575 Epoch 914/1000 331s 662ms/step - loss: 0.0905 - acc: 0.9996 - val_loss: 0.2542 - val_acc: 0.9577 Epoch 915/1000 333s 667ms/step - loss: 0.0904 - acc: 0.9997 - val_loss: 0.2544 - val_acc: 0.9572 Epoch 916/1000 331s 662ms/step - loss: 0.0905 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9574 Epoch 917/1000 327s 654ms/step - loss: 0.0905 - acc: 0.9995 - val_loss: 0.2543 - val_acc: 0.9576 Epoch 918/1000 327s 653ms/step - loss: 0.0901 - acc: 0.9998 - val_loss: 0.2541 - val_acc: 0.9578 Epoch 919/1000 327s 654ms/step - loss: 0.0904 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9578 Epoch 920/1000 327s 653ms/step - loss: 0.0902 - acc: 0.9998 - val_loss: 0.2545 - val_acc: 0.9575 Epoch 921/1000 327s 654ms/step - loss: 0.0903 - acc: 0.9997 - val_loss: 0.2544 - val_acc: 0.9578 Epoch 922/1000 327s 653ms/step - loss: 0.0903 - acc: 0.9996 - val_loss: 0.2542 - val_acc: 0.9575 Epoch 923/1000 327s 654ms/step - loss: 0.0903 - acc: 0.9997 - val_loss: 0.2544 - val_acc: 0.9577 Epoch 924/1000 327s 654ms/step - loss: 0.0905 - acc: 0.9996 - val_loss: 0.2548 - val_acc: 0.9573 Epoch 925/1000 327s 654ms/step - loss: 0.0904 - acc: 0.9997 - val_loss: 0.2547 - val_acc: 0.9574 Epoch 926/1000 327s 654ms/step - loss: 0.0903 - acc: 0.9997 - val_loss: 0.2546 - val_acc: 0.9575 Epoch 927/1000 327s 653ms/step - loss: 0.0905 - acc: 0.9996 - val_loss: 0.2545 - val_acc: 0.9576 Epoch 928/1000 327s 654ms/step - loss: 0.0901 - acc: 0.9998 - val_loss: 0.2543 - val_acc: 0.9576 Epoch 929/1000 327s 654ms/step - loss: 0.0901 - acc: 0.9998 - val_loss: 0.2544 - val_acc: 0.9579 Epoch 930/1000 327s 654ms/step - loss: 0.0902 - acc: 0.9997 - val_loss: 0.2538 - val_acc: 0.9577 Epoch 931/1000 327s 653ms/step - loss: 0.0904 - acc: 0.9995 - val_loss: 0.2539 - val_acc: 0.9576 Epoch 932/1000 327s 655ms/step - loss: 0.0901 - acc: 0.9997 - val_loss: 0.2535 - val_acc: 0.9577 Epoch 933/1000 327s 654ms/step - loss: 0.0902 - acc: 0.9997 - val_loss: 0.2541 - val_acc: 0.9578 Epoch 934/1000 327s 654ms/step - loss: 0.0899 - acc: 0.9998 - val_loss: 0.2541 - val_acc: 0.9579 Epoch 935/1000 327s 654ms/step - loss: 0.0907 - acc: 0.9995 - val_loss: 0.2542 - val_acc: 0.9579 Epoch 936/1000 327s 654ms/step - loss: 0.0900 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9576 Epoch 937/1000 327s 655ms/step - loss: 0.0900 - acc: 0.9998 - val_loss: 0.2544 - val_acc: 0.9575 Epoch 938/1000 328s 655ms/step - loss: 0.0901 - acc: 0.9997 - val_loss: 0.2544 - val_acc: 0.9577 Epoch 939/1000 329s 659ms/step - loss: 0.0900 - acc: 0.9997 - val_loss: 0.2544 - val_acc: 0.9580 Epoch 940/1000 328s 657ms/step - loss: 0.0901 - acc: 0.9996 - val_loss: 0.2544 - val_acc: 0.9577 Epoch 941/1000 328s 657ms/step - loss: 0.0900 - acc: 0.9997 - val_loss: 0.2541 - val_acc: 0.9575 Epoch 942/1000 333s 666ms/step - loss: 0.0900 - acc: 0.9996 - val_loss: 0.2536 - val_acc: 0.9577 Epoch 943/1000 333s 667ms/step - loss: 0.0901 - acc: 0.9996 - val_loss: 0.2536 - val_acc: 0.9575 Epoch 944/1000 329s 657ms/step - loss: 0.0896 - acc: 0.9998 - val_loss: 0.2536 - val_acc: 0.9575 Epoch 945/1000 326s 653ms/step - loss: 0.0899 - acc: 0.9998 - val_loss: 0.2537 - val_acc: 0.9577 Epoch 946/1000 327s 654ms/step - loss: 0.0899 - acc: 0.9997 - val_loss: 0.2535 - val_acc: 0.9577 Epoch 947/1000 326s 652ms/step - loss: 0.0901 - acc: 0.9996 - val_loss: 0.2533 - val_acc: 0.9580 Epoch 948/1000 326s 652ms/step - loss: 0.0899 - acc: 0.9996 - val_loss: 0.2529 - val_acc: 0.9576 Epoch 949/1000 326s 652ms/step - loss: 0.0901 - acc: 0.9997 - val_loss: 0.2530 - val_acc: 0.9582 Epoch 950/1000 326s 653ms/step - loss: 0.0898 - acc: 0.9998 - val_loss: 0.2528 - val_acc: 0.9578 Epoch 951/1000 326s 652ms/step - loss: 0.0897 - acc: 0.9998 - val_loss: 0.2531 - val_acc: 0.9581 Epoch 952/1000 326s 653ms/step - loss: 0.0894 - acc: 0.9999 - val_loss: 0.2533 - val_acc: 0.9584 Epoch 953/1000 327s 654ms/step - loss: 0.0900 - acc: 0.9997 - val_loss: 0.2534 - val_acc: 0.9580 Epoch 954/1000 327s 654ms/step - loss: 0.0896 - acc: 0.9998 - val_loss: 0.2535 - val_acc: 0.9583 Epoch 955/1000 327s 654ms/step - loss: 0.0900 - acc: 0.9996 - val_loss: 0.2534 - val_acc: 0.9579 Epoch 956/1000 327s 653ms/step - loss: 0.0896 - acc: 0.9998 - val_loss: 0.2533 - val_acc: 0.9581 Epoch 957/1000 327s 654ms/step - loss: 0.0898 - acc: 0.9997 - val_loss: 0.2528 - val_acc: 0.9581 Epoch 958/1000 327s 654ms/step - loss: 0.0895 - acc: 0.9998 - val_loss: 0.2530 - val_acc: 0.9580 Epoch 959/1000 327s 654ms/step - loss: 0.0897 - acc: 0.9997 - val_loss: 0.2537 - val_acc: 0.9582 Epoch 960/1000 327s 654ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2535 - val_acc: 0.9578 Epoch 961/1000 327s 654ms/step - loss: 0.0895 - acc: 0.9998 - val_loss: 0.2533 - val_acc: 0.9580 Epoch 962/1000 327s 654ms/step - loss: 0.0897 - acc: 0.9997 - val_loss: 0.2529 - val_acc: 0.9579 Epoch 963/1000 327s 653ms/step - loss: 0.0899 - acc: 0.9996 - val_loss: 0.2534 - val_acc: 0.9576 Epoch 964/1000 327s 653ms/step - loss: 0.0896 - acc: 0.9997 - val_loss: 0.2536 - val_acc: 0.9580 Epoch 965/1000 327s 653ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2535 - val_acc: 0.9583 Epoch 966/1000 327s 654ms/step - loss: 0.0898 - acc: 0.9997 - val_loss: 0.2538 - val_acc: 0.9581 Epoch 967/1000 327s 654ms/step - loss: 0.0894 - acc: 0.9997 - val_loss: 0.2536 - val_acc: 0.9582 Epoch 968/1000 327s 654ms/step - loss: 0.0895 - acc: 0.9998 - val_loss: 0.2538 - val_acc: 0.9583 Epoch 969/1000 327s 654ms/step - loss: 0.0896 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9580 Epoch 970/1000 327s 654ms/step - loss: 0.0896 - acc: 0.9996 - val_loss: 0.2545 - val_acc: 0.9584 Epoch 971/1000 327s 655ms/step - loss: 0.0898 - acc: 0.9997 - val_loss: 0.2545 - val_acc: 0.9582 Epoch 972/1000 327s 654ms/step - loss: 0.0897 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9577 Epoch 973/1000 327s 654ms/step - loss: 0.0896 - acc: 0.9996 - val_loss: 0.2541 - val_acc: 0.9581 Epoch 974/1000 327s 654ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9583 Epoch 975/1000 327s 654ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2541 - val_acc: 0.9580 Epoch 976/1000 327s 654ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9580 Epoch 977/1000 327s 654ms/step - loss: 0.0894 - acc: 0.9997 - val_loss: 0.2542 - val_acc: 0.9576 Epoch 978/1000 327s 654ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9576 Epoch 979/1000 327s 653ms/step - loss: 0.0894 - acc: 0.9997 - val_loss: 0.2546 - val_acc: 0.9576 Epoch 980/1000 327s 654ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2549 - val_acc: 0.9579 Epoch 981/1000 327s 653ms/step - loss: 0.0896 - acc: 0.9996 - val_loss: 0.2551 - val_acc: 0.9579 Epoch 982/1000 327s 654ms/step - loss: 0.0899 - acc: 0.9996 - val_loss: 0.2546 - val_acc: 0.9584 Epoch 983/1000 327s 654ms/step - loss: 0.0895 - acc: 0.9996 - val_loss: 0.2548 - val_acc: 0.9584 Epoch 984/1000 327s 653ms/step - loss: 0.0894 - acc: 0.9997 - val_loss: 0.2545 - val_acc: 0.9583 Epoch 985/1000 327s 654ms/step - loss: 0.0895 - acc: 0.9997 - val_loss: 0.2545 - val_acc: 0.9581 Epoch 986/1000 327s 654ms/step - loss: 0.0895 - acc: 0.9996 - val_loss: 0.2540 - val_acc: 0.9577 Epoch 987/1000 328s 656ms/step - loss: 0.0894 - acc: 0.9998 - val_loss: 0.2537 - val_acc: 0.9575 Epoch 988/1000 327s 653ms/step - loss: 0.0892 - acc: 0.9998 - val_loss: 0.2540 - val_acc: 0.9579 Epoch 989/1000 327s 653ms/step - loss: 0.0894 - acc: 0.9997 - val_loss: 0.2541 - val_acc: 0.9578 Epoch 990/1000 327s 654ms/step - loss: 0.0893 - acc: 0.9997 - val_loss: 0.2539 - val_acc: 0.9581 Epoch 991/1000 327s 654ms/step - loss: 0.0892 - acc: 0.9997 - val_loss: 0.2543 - val_acc: 0.9578 Epoch 992/1000 327s 654ms/step - loss: 0.0890 - acc: 0.9998 - val_loss: 0.2541 - val_acc: 0.9579 Epoch 993/1000 327s 654ms/step - loss: 0.0892 - acc: 0.9998 - val_loss: 0.2541 - val_acc: 0.9583 Epoch 994/1000 327s 653ms/step - loss: 0.0892 - acc: 0.9997 - val_loss: 0.2542 - val_acc: 0.9580 Epoch 995/1000 326s 653ms/step - loss: 0.0893 - acc: 0.9998 - val_loss: 0.2548 - val_acc: 0.9577 Epoch 996/1000 327s 654ms/step - loss: 0.0892 - acc: 0.9997 - val_loss: 0.2547 - val_acc: 0.9580 Epoch 997/1000 327s 653ms/step - loss: 0.0895 - acc: 0.9996 - val_loss: 0.2540 - val_acc: 0.9582 Epoch 998/1000 326s 652ms/step - loss: 0.0891 - acc: 0.9998 - val_loss: 0.2544 - val_acc: 0.9580 Epoch 999/1000 326s 652ms/step - loss: 0.0890 - acc: 0.9998 - val_loss: 0.2538 - val_acc: 0.9582 Epoch 1000/1000 326s 653ms/step - loss: 0.0894 - acc: 0.9997 - val_loss: 0.2538 - val_acc: 0.9577 Train loss: 0.08789637273550034 Train accuracy: 0.999960000038147 Test loss: 0.25383884519338606 Test accuracy: 0.9577000015974044
相较于调参记录24，本次的测试准确率还降低了0.03%。
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, DOI: 10.1109/TIE.2020.2972458, Date of Publication: 13 February 2020
https://ieeexplore.ieee.org/document/8998530
这篇关于【哈工大版】Dynamic ReLU：自适应参数化ReLU（调参记录25）Cifar10~95.77%的文章就介绍到这儿，希望我们推荐的文章对大家有所帮助，也希望大家多多支持为之网！
- 2024-10-30tensorflow是什么-icode9专业技术文章分享
- 2024-10-15成功地使用本地的 NVIDIA GPU 运行 PyTorch 或 TensorFlow
- 2024-01-23供应链投毒预警 | 恶意Py包仿冒tensorflow AI框架实施后门投毒攻击
- 2024-01-19attributeerror: module 'tensorflow' has no attribute 'placeholder'
- 2024-01-19module 'tensorflow.compat.v2' has no attribute 'internal'
- 2023-07-17【2023年】第33天 Neural Networks and Deep Learning with TensorFlow
- 2023-07-10【2023年】第32天 Boosted Trees with TensorFlow 2.0（随机森林）
- 2023-07-09【2023年】第31天 Logistic Regression with TensorFlow 2.0（用TensorFlow进行逻辑回归）
- 2023-07-01【2023年】第30天 Supervised Learning with TensorFlow 2（用TensorFlow进行监督学习 2）
- 2023-06-18【2023年】第29天 Supervised Learning with TensorFlow 1（用TensorFlow进行监督学习 1）
