code: def __init__(self, init=Constant(20.0), name=None):
      super(Normalize, self).__init__(name=name, init=init)
      self.bottom_data = None
      self.norm_data = None
      self.owns_outputs = True
  
imports: from neon.layers.layer import Layer, ParameterLayer
  import numpy
  from neon.transforms import Softmax
  from neon.initializers.initializer import Constant
  import math
  from collections import OrderedDict
label_desc: Use image node_id 1 to create a new Normalize object from inherited base classes: ParameterLayer with example: obj = Normalize(init, name)