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tf.keras.optimizers.schedules.InverseTimeDecay

A LearningRateSchedule that uses an inverse time decay schedule.

Compat aliases for migration

tf.compat.v1.keras.optimizers.schedules.InverseTimeDecay, `tf.compat.v2.keras.optimizers.schedules.InverseTimeDecay`, `tf.compat.v2.optimizers.schedules.InverseTimeDecay`

tf.keras.optimizers.schedules.InverseTimeDecay(
    initial_learning_rate, decay_steps, decay_rate, staircase=False, name=None
)

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'.

@classmethod
from_config(
    config
)

Instantiates a LearningRateSchedule from its config.

Args
`config`	Output of `get_config()`.

Returns
A `LearningRateSchedule` instance.

get_config()

__call__(
    step
)

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