class_docstr: Wrapper class for importing Keras models.
docstr: The index of the layer considered as output for models with multiple output layers.
  For models with only one output layer the index is 0.
  
  :return: The index of the layer considered as output for models with multiple output layers.
docstr_tok: ["The","index","of","the","layer","considered","as","output","for","models","with","multiple","output","layers",".","For","models","with","only","one","output","layer","the","index","is","0.",":","return",":","The","index","of","the","layer","considered","as","output","for","models","with","multiple","output","layers","."]
code: def output_layer(self) -> int:
      """
      The index of the layer considered as output for models with multiple output layers.
      For models with only one output layer the index is 0.
  
      :return: The index of the layer considered as output for models with multiple output layers.
      """
      return self._output_layer
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import os
  import time
  from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Union, TYPE_CHECKING
  import numpy
  import six
  from art import config
  from art.estimators.keras import KerasEstimator
  from art.estimators.classification.classifier import ClassifierMixin, ClassGradientsMixin
  from art.utils import check_and_transform_label_format
label_desc: Use image node_id 6 for calling the KerasClassifier obj's underlying member method code with example usage: obj.output_layer() and returns: self