code: def create_model():
      return tf.keras.models.Sequential(
          [
              tf.keras.layers.Flatten(input_shape=(28, 28)),
              tf.keras.layers.Dense(512, activation="relu"),
              tf.keras.layers.Dropout(0.2),
              tf.keras.layers.Dense(10, activation="softmax"),
          ]
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: create_model() and returns: tf