W3cubDocs

/TensorFlow 1.15

tf.keras.optimizers.schedules.InverseTimeDecay

View source on GitHub

A LearningRateSchedule that uses an inverse time decay schedule.

Inherits From: LearningRateSchedule

Args
initial_learning_rate A scalar float32 or float64 Tensor or a Python number. The initial learning rate.
decay_steps How often to apply decay.
decay_rate A Python number. The decay rate.
staircase Whether to apply decay in a discrete staircase, as opposed to continuous, fashion.
name String. Optional name of the operation. Defaults to 'InverseTimeDecay'.

Methods

from_config

View source

Instantiates a LearningRateSchedule from its config.

Args
config Output of get_config().
Returns
A LearningRateSchedule instance.

get_config

View source

__call__

View source

Call self as a function.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/optimizers/schedules/InverseTimeDecay