tf.keras.experimental.CosineDecay

TensorFlow 1 version View source on GitHub

A LearningRateSchedule that uses a cosine decay schedule.

Inherits From: LearningRateSchedule

tf.keras.experimental.CosineDecay(
    initial_learning_rate, decay_steps, alpha=0.0, name=None
)

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. Number of steps to decay over.
alpha A scalar float32 or float64 Tensor or a Python number. Minimum learning rate value as a fraction of initial_learning_rate.
name String. Optional name of the operation. Defaults to 'CosineDecay'.

Methods

from_config

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@classmethod
from_config(
    config
)

Instantiates a LearningRateSchedule from its config.

Args
config Output of get_config().

Returns
A LearningRateSchedule instance.

get_config

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get_config()

__call__

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__call__(
    step
)

Call self as a function.