class_docstr: This class implements a classifier with the TensorFlow v2 framework.
class_docstr_tok: ["This","class","implements","a","classifier","with","the","TensorFlow","v2","framework","."]
docstr: Return the hidden layers in the model, if applicable.
  
  :return: The hidden layers in the model, input and output layers excluded.
docstr_tok: ["Return","the","hidden","layers","in","the","model",",","if","applicable",".",":","return",":","The","hidden","layers","in","the","model",",","input","and","output","layers","excluded","."]
code: def _get_layers(self) -> list:
      """
      Return the hidden layers in the model, if applicable.
  
      :return: The hidden layers in the model, input and output layers excluded.
      """
      raise NotImplementedError
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import os
  import random
  import shutil
  import time
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union, TYPE_CHECKING
  from tqdm.auto import tqdm
  import numpy
  import six
  from art import config
  from art.estimators.classification.classifier import ClassGradientsMixin, ClassifierMixin
  from art.estimators.tensorflow import TensorFlowEstimator, TensorFlowV2Estimator
  from art.utils import check_and_transform_label_format
label_desc: Use image node_id 16 for calling the TensorFlowV2Classifier obj's underlying member method code with example usage: obj._get_layers() without return types