code: def create_model():
      """Constructs a model."""
      model_ = tf.keras.Sequential(
          [
              tf.keras.layers.Conv2D(32, 3, activation="relu"),
              tf.keras.layers.MaxPooling2D(),
              tf.keras.layers.Conv2D(64, 3, activation="relu"),
              tf.keras.layers.MaxPooling2D(),
              tf.keras.layers.Flatten(),
              tf.keras.layers.Dense(64, activation="relu"),
              tf.keras.layers.Dense(10, activation="softmax"),
          ]
      )
  
      return model_
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: create_model() and returns: model_