class_docstr: `DeepFactorized` that is convolved with uniform noise.
class_docstr_tok: ["`","DeepFactorized","`","that","is","convolved","with","uniform","noise","."]
code: def __init__(self, name="NoisyDeepFactorized", **kwargs):
      super().__init__(DeepFactorized(**kwargs), name=name)
  
imports: import tensorflow
  import tensorflow_probability
  from tensorflow_compression.python.distributions import helpers
  from tensorflow_compression.python.distributions import uniform_noise
label_desc: Use image node_id 1 to create a new NoisyDeepFactorized object from inherited base classes: uniform_noise with example: obj = NoisyDeepFactorized(name)