parameters: (config, module_objects=None)
docstring: Deserialize Keras object from a nested structure.
docstring_summary: Deserialize Keras object from a nested structure.
docstring_tokens: Deserialize Keras object from a nested structure .
function: def recursively_deserialize_keras_object(config, module_objects=None):
    """Deserialize Keras object from a nested structure."""
    if isinstance(config, dict):
      if 'class_name' in config:
        return generic_utils.deserialize_keras_object(
            config, module_objects=module_objects)
      else:
        return {key: recursively_deserialize_keras_object(config[key],
                                                          module_objects)
                for key in config}
    if isinstance(config, (tuple, list)):
      return [recursively_deserialize_keras_object(x, module_objects)
              for x in config]
    else:
      raise ValueError('Unable to decode config: {}'.format(config))
function_tokens: def recursively_deserialize_keras_object ( config , module_objects = None ) : if isinstance ( config , dict ) : if 'class_name' in config : return generic_utils . deserialize_keras_object ( config , module_objects = module_objects ) else : return { key : recursively_deserialize_keras_object ( config [ key ] , module_objects ) for key in config } if isinstance ( config , ( tuple , list ) ) : return [ recursively_deserialize_keras_object ( x , module_objects ) for x in config ] else : raise ValueError ( 'Unable to decode config: {}' . format ( config ) )