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 loss function.
  
  :return: The loss function.
docstr_tok: ["Return","the","loss","function",".",":","return",":","The","loss","function","."]
code: def loss_object(self) -> "tf.keras.losses.Loss":
      """
      Return the loss function.
  
      :return: The loss function.
      """
      return self._loss_object
  
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 3 for calling the TensorFlowV2Classifier obj's underlying member method code with example usage: obj.loss_object() and returns: self