code: def __init__(self, clip_values, channels_first=True):
      super(ClassifierNeuralNetworkInstance, self).__init__(
          model=None,
          clip_values=clip_values,
          channels_first=channels_first,
      )
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import unittest
  import numpy
  from art.estimators.classification.classifier import ClassGradientsMixin, ClassifierMixin
  from art.estimators.estimator import BaseEstimator, LossGradientsMixin, NeuralNetworkMixin
  from tests.utils import TestBase, master_seed
label_desc: Use image node_id 1 to create a new ClassifierNeuralNetworkInstance object from inherited base classes: ClassGradientsMixin, ClassifierMixin, NeuralNetworkMixin, LossGradientsMixin, BaseEstimator with example: obj = ClassifierNeuralNetworkInstance(clip_values, channels_first)