class_docstr: A factorized Noisy Net layer
  
  https://arxiv.org/abs/1706.10295.
class_docstr_tok: ["A","factorized","Noisy","Net","layer","https",":","\/\/arxiv.org\/abs\/1706.10295","."]
code: def __init__(self, units: int):
      super(NoisyNetDense, self).__init__(units=units)
  
imports: import math
  from types import FunctionType
  import tensorflow
  from rl_coach.architectures import layers
  from rl_coach.architectures.tensorflow_components import utils
label_desc: Use image node_id 1 to create a new NoisyNetDense object from inherited base classes: layers with example: obj = NoisyNetDense(units)