message: Improve the docstring for the tf.keras.initializer.get()
diff: @@ -148,6 +148,38 @@ def deserialize(config, custom_objects=None):
  @keras_export('keras.initializers.get')
  def get(identifier):
  + """Retrieve a Keras initializer by the identifier.
  +
  + The `identifier` may be the string name of a initializers function or class (
  + case-sensitively).
  +
  + >>> identifier = 'Ones'
  + >>> tf.keras.initializers.deserialize(identifier)
  + <...tensorflow.python.keras.initializers.initializers_v2.Ones...>
  +
  + You can also specify `config` of the initializer to this function by passing
  + dict containing `class_name` and `config` as an identifier. Also note that the
  + `class_name` must map to a `Initializer` class.
  +
  + >>> cfg = {'class_name': 'Ones', 'config': {}}
  + >>> tf.keras.initializers.deserialize(cfg)
  + <...tensorflow.python.keras.initializers.initializers_v2.Ones...>
  +
  + In the case that the `identifier` is a class, this method will return a new
  + instance of the class by its constructor.
  +
  + Args:
  + identifier: String or dict that contains the initializer name or
  + configurations.
  +
  + Returns:
  + Initializer instance base on the input identifier.
  +
  + Raises:
  + ValueError: If the input identifier is not a supported type or in a bad
  + format.
  + """
  +
  if identifier is None:
  return None
  if isinstance(identifier, dict):
  