tf.keras.optimizers.schedules.deserialize

Instantiates a LearningRateSchedule object from a serialized form.

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Main aliases

tf.optimizers.schedules.deserialize

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.optimizers.schedules.deserialize

tf.keras.optimizers.schedules.deserialize(
    config, custom_objects=None
)

Args
config	The serialized form of the LearningRateSchedule. Dictionary of the form {'class_name': str, 'config': dict}.
custom_objects	A dictionary mapping class names (or function names) of custom (non-Keras) objects to class/functions.

Returns
A LearningRateSchedule object.

Example:

# Configuration for PolynomialDecay
config = {
  'class_name': 'PolynomialDecay',
  'config': {'cycle': False,
    'decay_steps': 10000,
    'end_learning_rate': 0.01,
    'initial_learning_rate': 0.1,
    'name': None,
    'power': 0.5} }
lr_schedule = tf.keras.optimizers.schedules.deserialize(config)