class_docstr: "Regularization class.
code: def __init__(self, regularization_name, wd=0.004):
      self.wd = wd
      if regularization_name == "l1":
          self.regularizer = tf.keras.regularizers.l1
      elif regularization_name == "l2":
          self.regularizer = tf.keras.regularizers.l2
      elif regularization_name is None:
          self.regularizer = None
      else:
          raise ValueError(
              f"Regularization type {regularization_name} not recognized."
          )
  
imports: import tensorflow
label_desc: Use image node_id 1 to create a new Regularization object  with example: obj = Regularization(regularization_name, wd)