code: def deserialize(config, custom_objects=None):
      """Instantiates a `LearningRateSchedule` object from a serialized form.
  
      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:
  
      ```python
      # 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 = keras.optimizers.schedules.deserialize(config)
      ```
      """
      return serialization_lib.deserialize_keras_object(
          config,
          module_objects=globals(),
          custom_objects=custom_objects,
          printable_module_name="decay",
      )
  
imports: import math
  from keras import ops
  from keras.api_export import keras_export
  from keras.saving import serialization_lib
label_desc: Use image node_id 2 for calling a global function with example usage: deserialize(config, custom_objects) and returns: serialization_lib