code: def deserialize(config, custom_objects=None):
      if config == "l1_l2":
          # Special case necessary since the defaults used for "l1_l2" (string)
          # differ from those of the L1L2 class.
          return L1L2(l1=0.01, l2=0.01)
      return deserialize_keras_object(
          config,
          module_objects=globals(),
          custom_objects=custom_objects,
          printable_module_name="regularizer",
      )
  
imports: import math
  from tensorflow.python.keras import backend
  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
label_desc: Use image node_id 5 for calling a global function with example usage: deserialize(config, custom_objects) and returns: deserialize_keras_object, L1L2