我正在使用以下功能来训练/验证我的模型:
model.fit_generator(
train_generator,
steps_per_epoch=nb_train_samples // batch_size,
epochs=epochs,
validation_data=validation_generator,
validation_steps=nb_validation_samples // batch_size,
verbose=2, workers=12)
上述功能在每个时期运行验证。我的验证数据非常大,所以我希望每隔N个时期运行一次。我怎么能这样做?
答案 0 :(得分:0)
看起来keras已使用新的输入参数validation_freq
更新了fit / fit_generator,该参数可用于设置验证数据的评估频率。根据文档(从2.2.4版开始):
fit(x=None, y=None, batch_size=None, epochs=1, verbose=1, callbacks=None, validation_split=0.0, validation_data=None, shuffle=True, class_weight=None, sample_weight=None, initial_epoch=0, steps_per_epoch=None, validation_steps=None, validation_freq=1)
fit_generator(generator, steps_per_epoch=None, epochs=1, verbose=1, callbacks=None, validation_data=None, validation_steps=None, validation_freq=1, class_weight=None, max_queue_size=10, workers=1, use_multiprocessing=False, shuffle=True, initial_epoch=0)