import?keras
import?numpy?as?np
from?keras?import?optimizers
from?keras.datasets?import?cifar10
from?keras.models?import?Sequential
from?keras.layers?import?Conv2D?Dense?Flatten?MaxPooling2D
from?keras.callbacks?import?LearningRateScheduler?TensorBoard
from?keras.preprocessing.image?import?ImageDataGenerator

batch_size????=?128
epochs????????=?200
iterations????=?391
num_classes???=?10
log_filepath??=?‘./lenet_dp_da‘
mean??????????=?[125.307?122.95?113.865]
std???????????=?[62.9932?62.0887?66.7048]

def?build_model（）:
????model?=?Sequential（）
????model.add（Conv2D（6?（5?5）?padding=‘valid‘?activation?=?‘relu‘?kernel_initializer=‘he_normal‘?input_shape=（32323）））
????model.add（MaxPooling2D（（2?2）?strides=（2?2）））
????model.add（Conv2D（16?（5?5）?padding=‘valid‘?activation?=?‘relu‘?kernel_initializer=‘he_normal‘））
????model.add（MaxPooling2D（（2?2）?strides=（2?2）））
????model.add（Flatten（））
????model.add（Dense（120?activation?=?‘relu‘?kernel_initializer=‘he_normal‘））
????model.add（Dense（84?activation?=?‘relu‘?kernel_initializer=‘he_normal‘））
????model.add（Dense（10?activation?=?‘softmax‘?kernel_initializer=‘he_normal‘））
????sgd?=?optimizers.SGD（lr=.1?momentum=0.9?nesterov=True）
????model.compile（loss=‘categorical_crossentropy‘?optimizer=sgd?metrics=[‘accuracy‘]）
????return?model

def?scheduler（epoch）:
????if?epoch?<=?60:
????????return?0.05
????if?epoch?<=?120:
????????return?0.01
????if?epoch?<=?160:????
????????return?0.002
????return?0.0004

if?__name__?==?‘__main__‘:

????#?load?data
????（x_train?y_train）?（x_test?y_test）?=?cifar10.load_data（）
????y_train?=?keras.utils.to_categorical（y_train?num_classes）
????y_test?=?keras.utils.to_categorical（y_test?num_classes）
????x_train?=?x_train.astype（‘float32‘）
????x_test?=?x_test.astype（‘float32‘）
????
????#?data?preprocessing??[raw?-?mean?/?std]
????for?i?in?range（3）:
????????x_train[:::i]?=?（x_train[:::i]?-?mean[i]）?/?std[i]
????????x_test[:::i]?=?（x_test[:::i]?-?mean[i]）?/?std[i]
????????
????#?build?network
????model?=?build_model（）
????print（model.summary（））
????#?set?callback
????tb_cb?=?TensorBoard（log_dir=log_filepath?histogram_freq=0）
????change_lr?=?LearningRateScheduler（scheduler）
????cbks?=?[change_lrtb_cb]

????#?using?real-time?data?augmentation
????print（‘Using?real-time?data?augmentation.‘）
????datagen?=?ImageDataGenerator（horizontal_flip=True
????????????width_shift_range=0.125height_shift_range=0.125fill_mode=‘constant‘cval=0.）

????datagen.fit（x_train）

????#?start?traing?
????model.fit_generator（datagen.flow（x_train?y_trainbatch_size=batch_size）
????????????????????????steps_per_epoch=iterations
????????????????????????epochs=epochs
????????????????????????callbacks=cbks
????????????????????????validation_data=（x_test?y_test））
????#?save?model
????model.save（‘lenet.h5‘）

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2017-12-20?02:00??cifar-10-cnn-master\
?????目錄???????????0??2017-12-20?02:00??cifar-10-cnn-master\1_Lecun_Network\
?????文件????????2839??2017-12-20?02:00??cifar-10-cnn-master\1_Lecun_Network\LeNet_dp_da_keras.py
?????文件????????3081??2017-12-20?02:00??cifar-10-cnn-master\1_Lecun_Network\LeNet_dp_da_wd_keras.py
?????文件????????2380??2017-12-20?02:00??cifar-10-cnn-master\1_Lecun_Network\LeNet_dp_keras.py
?????文件????????2119??2017-12-20?02:00??cifar-10-cnn-master\1_Lecun_Network\LeNet_keras.py
?????目錄???????????0??2017-12-20?02:00??cifar-10-cnn-master\2_Network_in_Network\
?????文件????????4654??2017-12-20?02:00??cifar-10-cnn-master\2_Network_in_Network\Network_in_Network_bn_keras.py
?????文件????????4285??2017-12-20?02:00??cifar-10-cnn-master\2_Network_in_Network\Network_in_Network_keras.py
?????目錄???????????0??2017-12-20?02:00??cifar-10-cnn-master\2_Network_in_Network\nin\
?????文件??????422438??2017-12-20?02:00??cifar-10-cnn-master\2_Network_in_Network\nin\events.out.tfevents.1501857002.dlsummer-BM1AF-BP1AF-BM6AF
?????目錄???????????0??2017-12-20?02:00??cifar-10-cnn-master\2_Network_in_Network\nin_bn\
?????文件?????1776892??2017-12-20?02:00??cifar-10-cnn-master\2_Network_in_Network\nin_bn\events.out.tfevents.1501979688.bg-CGI
?????目錄???????????0??2017-12-20?02:00??cifar-10-cnn-master\3_Vgg19_Network\
?????文件????????7645??2017-12-20?02:00??cifar-10-cnn-master\3_Vgg19_Network\Vgg19_keras.py
?????文件????????1582??2017-12-20?02:00??cifar-10-cnn-master\3_Vgg19_Network\Vgg_prediction.py
?????目錄???????????0??2017-12-20?02:00??cifar-10-cnn-master\3_Vgg19_Network\test_pic\
?????文件???????82410??2017-12-20?02:00??cifar-10-cnn-master\3_Vgg19_Network\test_pic\cat.jpg
?????文件????????8892??2017-12-20?02:00??cifar-10-cnn-master\3_Vgg19_Network\test_pic\puzzle.jpeg
?????文件???????12270??2017-12-20?02:00??cifar-10-cnn-master\3_Vgg19_Network\test_pic\tiger.jpeg
?????目錄???????????0??2017-12-20?02:00??cifar-10-cnn-master\4_Residual_Network\
?????文件????????5255??2017-12-20?02:00??cifar-10-cnn-master\4_Residual_Network\ResNet_keras.py
?????目錄???????????0??2017-12-20?02:00??cifar-10-cnn-master\5_Wide_Residual_Network\
?????文件????????5003??2017-12-20?02:00??cifar-10-cnn-master\5_Wide_Residual_Network\Wide_ResNet_keras.py
?????目錄???????????0??2017-12-20?02:00??cifar-10-cnn-master\6_ResNeXt\
?????文件????????5421??2017-12-20?02:00??cifar-10-cnn-master\6_ResNeXt\ResNeXt_keras.py
?????目錄???????????0??2017-12-20?02:00??cifar-10-cnn-master\7_DenseNet\
?????文件????????5248??2017-12-20?02:00??cifar-10-cnn-master\7_DenseNet\DenseNet_keras.py
?????目錄???????????0??2017-12-20?02:00??cifar-10-cnn-master\8_SENet\
?????文件????????6442??2017-12-20?02:00??cifar-10-cnn-master\8_SENet\SENet_Keras.py
?????目錄???????????0??2017-12-20?02:00??cifar-10-cnn-master\9_Multi-GPU\
............此處省略21個文件信息