code: def deserialize(name, custom_objects=None):
      """Returns activation function given a string identifier.
  
      Args:
        name: The name of the activation function.
        custom_objects: Optional `{function_name: function_obj}`
          dictionary listing user-provided activation functions.
  
      Returns:
          Corresponding activation function.
  
      For example:
  
      >>> tf.keras.activations.deserialize('linear')
       <function linear at 0x1239596a8>
      >>> tf.keras.activations.deserialize('sigmoid')
       <function sigmoid at 0x123959510>
      >>> tf.keras.activations.deserialize('abcd')
      Traceback (most recent call last):
      ...
      ValueError: Unknown activation function:abcd
  
      Raises:
          ValueError: `Unknown activation function` if the input string does not
          denote any defined Tensorflow activation function.
      """
      globs = globals()
  
      # only replace missing activations
      advanced_activations_globs = advanced_activations.get_globals()
      for key, val in advanced_activations_globs.items():
          if key not in globs:
              globs[key] = val
  
      return deserialize_keras_object(
          name,
          module_objects=globs,
          custom_objects=custom_objects,
          printable_module_name="activation function",
      )
  
imports: from tensorflow.python.keras import backend
  from tensorflow.python.keras.layers import advanced_activations
  from tensorflow.python.keras.utils.generic_utils import deserialize_keras_object
  from tensorflow.python.keras.utils.generic_utils import serialize_keras_object
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn
  from tensorflow.python.util import dispatch
label_desc: Use image node_id 15 for calling a global function with example usage: deserialize(name, custom_objects) and returns: deserialize_keras_object