code: def objective(config):  # <1>
      model = keras.models.Sequential()
      model.add(
          keras.layers.Dense(784, activation=config["activation"])
      )
      model.add(keras.layers.Dense(10, activation="softmax"))
  
      model.compile(
          loss="binary_crossentropy",
          optimizer="adam",
          metrics=["accuracy"],
      )
      # model.fit(...)
      # loss, accuracy = model.evaluate(...)
      return {"accuracy": accuracy}
  
label_desc: Use image node_id 1 for calling a global function with example usage: objective(config) and returns: dict