tf.keras.optimizers.schedules.ExponentialDecay

TensorFlow 1 version View source on GitHub

A LearningRateSchedule that uses an exponential decay schedule.

Inherits From: LearningRateSchedule

Used in the notebooks

Used in the guide Used in the tutorials

initial_learning_rate A scalar float32 or float64 Tensor or a Python number. The initial learning rate.
decay_steps A scalar int32 or int64 Tensor or a Python number. Must be positive. See the decay computation above.
decay_rate A scalar float32 or float64 Tensor or a Python number. The decay rate.
staircase Boolean. If True decay the learning rate at discrete intervals
name String. Optional name of the operation. Defaults to 'ExponentialDecay'.

Methods

from_config

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Instantiates a LearningRateSchedule from its config.

Args
config Output of get_config().

Returns
A LearningRateSchedule instance.

get_config

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__call__

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Call self as a function.