TensorFlow 2 version
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View source on GitHub
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A serializable learning rate decay schedule.
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
@classmethodfrom_config( config )
Instantiates a LearningRateSchedule from its config.
| Args | |
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config
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Output of get_config().
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| Returns | |
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A LearningRateSchedule instance.
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get_config
@abc.abstractmethodget_config()
__call__
@abc.abstractmethod__call__( step )
Call self as a function.
TensorFlow 2 version
View source on GitHub