相关疑难解决方法(0)

有没有办法在同一图表上绘制训练损失和验证损失？

很容易为每个单独的标记提供两个单独的标量摘要,但这会将它们放在单独的图形上.如果两者都显示在同一图表中,则更容易看出它们之间的差距以及它们是否因过度拟合而开始出现分歧.

有没有内置的方法来做到这一点？如果没有,一个解决方法？非常感谢!

我正在使用keras并希望通过实现自定义学习率 keras.callbacks.LearningRateScheduler

如何通过学习率才能在张量板中监控？(keras.callbacks.TensorBoard)

目前我有:

lrate = LearningRateScheduler(lambda epoch: initial_lr * 0.95 ** epoch)

tensorboard = TensorBoard(log_dir=LOGDIR, histogram_freq=1,
                          batch_size=batch_size, embeddings_freq=1,
                          embeddings_layer_names=embedding_layer_names )

model.fit_generator(train_generator, steps_per_epoch=n_steps,
                    epochs=n_epochs,
                    validation_data=(val_x, val_y),
                    callbacks=[lrate, tensorboard])

How do I add text summary to Tensorboard when using Keras?

I have setup a Tensorboard callback, but I am lost on how to add a text summary.

For example, I would like to add a text summary of different parameters used in the run into the Tensorboard so that for documentation and not lost when I revisit the run log.

One option seems to be to include all the parameter details to the logfile dir name, but that looks …