tf.keras.optimizers.schedules.LearningRateSchedule
| View source on GitHub | 
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
  
@classmethod
from_config(
    config
)
 Instantiates a LearningRateSchedule from its config.
| Args | |
|---|---|
 config  |   Output of get_config().  |  
| Returns | |
|---|---|
 A LearningRateSchedule instance.  |  
get_config
  @abc.abstractmethod get_config()
__call__
  
@abc.abstractmethod
__call__(
    step
)
 Call self as a function.
    © 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
    https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/optimizers/schedules/LearningRateSchedule