- 只保存最佳的训练模型
- 保存有所有有提升的模型
- 加载模型
- 参数说明
只保存最佳的训练模型
from keras.callbacks import ModelCheckpoint
filepath='weights.best.hdf5'
# 有一次提升, 则覆盖一次.
checkpoint = ModelCheckpoint(filepath, monitor='val_acc', verbose=1,save_best_only=True,mode='max',period=2) callbacks_list = [checkpoint]
model.compile(loss='categorical_crossentropy', optimizer=optimizers.Adam(lr=2e-6,decay=1e-7),metrics=['acc'])
history1 = model.fit_generator(
train_generator,
steps_per_epoch=100,
epochs=40,
validation_data=validation_generator,
validation_steps=100, callbacks=callbacks_list)
输出的部分结果为:
Epoch 2/40
100/100 [==============================] - 24s 241ms/step - loss: 0.2715 - acc: 0.9380 - val_loss: 0.1635 - val_acc: 0.9600
Epoch 00002: va