tf.keras.optimizers.schedules.ExponentialDecay

TensorFlow 1 version

View source on GitHub

A serializable learning rate decay schedule.

View aliases

Main aliases

tf.optimizers.schedules.LearningRateSchedule

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.optimizers.schedules.LearningRateSchedule

Used in the notebooks

Used in the tutorials
Transformer model for language understanding

LearningRateSchedules can be passed in as the learning rate of optimizers in tf.keras.optimizers. They can be serialized and deserialized using tf.keras.optimizers.schedules.serialize and tf.keras.optimizers.schedules.deserialize.

Methods

`from_config`

View source

@classmethod
from_config(
    config
)

Instantiates a LearningRateSchedule from its config.

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

Returns
A `LearningRateSchedule` instance.

`get_config`

View source

@abc.abstractmethod
get_config()

`call`

View source

@abc.abstractmethod
__call__(
    step
)

Call self as a function.

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tf.keras / optimizers / optimizers.schedules.ExponentialDecay

View aliases

Used in the notebooks

Methods

from_config

get_config

__call__

`from_config`

`get_config`

`call`