tf.keras.optimizers.schedules.deserialize
| View source on GitHub |
Instantiates a LearningRateSchedule object from a serialized form.
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)
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/keras/optimizers/schedules/deserialize
