tf.keras.optimizers.schedules.serialize

Serializes a LearningRateSchedule into a JSON-compatible representation.

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Main aliases

tf.optimizers.schedules.serialize

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.optimizers.schedules.serialize

tf.keras.optimizers.schedules.serialize(
    learning_rate_schedule
)

Args
learning_rate_schedule	The LearningRateSchedule object to serialize.

Returns
A JSON-serializable dict representing the object's config.

Example:

lr_schedule = tf.keras.optimizers.schedules.ExponentialDecay(
  0.1, decay_steps=100000, decay_rate=0.96, staircase=True)
tf.keras.optimizers.schedules.serialize(lr_schedule)
{'class_name': 'ExponentialDecay',
 'config': {'decay_rate': 0.96,
    'decay_steps': 100000,
    'initial_learning_rate': 0.1,
    'name': None,
    'staircase': True} }