Keras:如何记录验证损失

from keras.callbacks import EarlyStopping, ModelCheckpoint

# 创建EarlyStopping回调函数
early_stopping = EarlyStopping(monitor='val_loss', patience=3)

# 创建ModelCheckpoint回调函数
model_checkpoint = ModelCheckpoint('model_weights.h5', monitor='val_loss', save_best_only=True)

# 编译和训练模型时，将这两个回调函数作为参数传入
model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
model.fit(x_train, y_train, validation_data=(x_val, y_val), epochs=10, callbacks=[early_stopping, model_checkpoint])