code: def get_image_classifier_kr_tf_with_wildcard():
      """
      Standard TensorFlow-Keras binary classifier for unit testing
  
      :return: KerasClassifier
      """
      # pylint: disable=E0401
      import tensorflow as tf
  
      if tf.__version__[0] == "2":
          tf.compat.v1.disable_eager_execution()
      from tensorflow.keras.layers import LSTM, Conv1D, Dense
      from tensorflow.keras.models import Sequential
  
      from art.estimators.classification.keras import KerasClassifier
  
      # Create simple CNN
      model = Sequential()
      model.add(Conv1D(1, 3, activation="relu", input_shape=(None, 1)))
      model.add(LSTM(4))
      model.add(Dense(2, activation="softmax"))
      model.compile(loss="binary_crossentropy", optimizer="adam")
  
      # Get classifier
      krc = KerasClassifier(model)
  
      return krc
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import json
  import logging
  import os
  import pickle
  import time
  import unittest
  import warnings
  import sklearn
  import numpy
  from art.estimators.classification.tensorflow import TensorFlowV2Classifier
  from art.estimators.encoding.tensorflow import TensorFlowEncoder
  from art.estimators.generation.tensorflow import TensorFlowGenerator, TensorFlowV2Generator
  from art.estimators.gan.tensorflow import TensorFlowV2GAN
  from art.utils import load_dataset
label_desc: Use image node_id 17 for calling a global function with example usage: get_image_classifier_kr_tf_with_wildcard() and returns: krc