tf.keras.callbacks.LearningRateScheduler

TensorFlow 1 version View source on GitHub

Learning rate scheduler.

Inherits From: Callback

schedule a function that takes an epoch index as input (integer, indexed from 0) and returns a new learning rate as output (float).
verbose int. 0: quiet, 1: update messages.

# This function keeps the learning rate at 0.001 for the first ten epochs
# and decreases it exponentially after that.
def scheduler(epoch):
  if epoch < 10:
    return 0.001
  else:
    return 0.001 * tf.math.exp(0.1 * (10 - epoch))

callback = tf.keras.callbacks.LearningRateScheduler(scheduler)
model.fit(data, labels, epochs=100, callbacks=[callback],
          validation_data=(val_data, val_labels))

Methods

on_batch_begin

View source

A backwards compatibility alias for on_train_batch_begin.

on_batch_end

View source

A backwards compatibility alias for on_train_batch_end.

on_epoch_begin

View source

Called at the start of an epoch.

Subclasses should override for any actions to run. This function should only be called during TRAIN mode.

Arguments
epoch integer, index of epoch.
logs dict. Currently no data is passed to this argument for this method but that may change in the future.

on_epoch_end

View source

Called at the end of an epoch.

Subclasses should override for any actions to run. This function should only be called during TRAIN mode.

Arguments
epoch integer, index of epoch.
logs dict, metric results for this training epoch, and for the validation epoch if validation is performed. Validation result keys are prefixed with val_.

on_predict_batch_begin

View source

Called at the beginning of a batch in predict methods.

Subclasses should override for any actions to run.

Arguments
batch integer, index of batch within the current epoch.
logs dict. Has keys batch and size representing the current batch number and the size of the batch.

on_predict_batch_end

View source

Called at the end of a batch in predict methods.

Subclasses should override for any actions to run.

Arguments
batch integer, index of batch within the current epoch.
logs dict. Metric results for this batch.

on_predict_begin

View source

Called at the beginning of prediction.

Subclasses should override for any actions to run.

Arguments
logs dict. Currently no data is passed to this argument for this method but that may change in the future.

on_predict_end

View source

Called at the end of prediction.

Subclasses should override for any actions to run.

Arguments
logs dict. Currently no data is passed to this argument for this method but that may change in the future.

on_test_batch_begin

View source

Called at the beginning of a batch in evaluate methods.

Also called at the beginning of a validation batch in the fit methods, if validation data is provided.

Subclasses should override for any actions to run.

Arguments
batch integer, index of batch within the current epoch.
logs dict. Has keys batch and size representing the current batch number and the size of the batch.

on_test_batch_end

View source

Called at the end of a batch in evaluate methods.

Also called at the end of a validation batch in the fit methods, if validation data is provided.

Subclasses should override for any actions to run.

Arguments
batch integer, index of batch within the current epoch.
logs dict. Metric results for this batch.

on_test_begin

View source

Called at the beginning of evaluation or validation.

Subclasses should override for any actions to run.

Arguments
logs dict. Currently no data is passed to this argument for this method but that may change in the future.

on_test_end

View source

Called at the end of evaluation or validation.

Subclasses should override for any actions to run.

Arguments
logs dict. Currently no data is passed to this argument for this method but that may change in the future.

on_train_batch_begin

View source

Called at the beginning of a training batch in fit methods.

Subclasses should override for any actions to run.

Arguments
batch integer, index of batch within the current epoch.
logs dict. Has keys batch and size representing the current batch number and the size of the batch.

on_train_batch_end

View source

Called at the end of a training batch in fit methods.

Subclasses should override for any actions to run.

Arguments
batch integer, index of batch within the current epoch.
logs dict. Metric results for this batch.

on_train_begin

View source

Called at the beginning of training.

Subclasses should override for any actions to run.

Arguments
logs dict. Currently no data is passed to this argument for this method but that may change in the future.

on_train_end

View source

Called at the end of training.

Subclasses should override for any actions to run.

Arguments
logs dict. Currently no data is passed to this argument for this method but that may change in the future.

set_model

View source

set_params

View source