python import tensorflow as tf from tensorflow import keras model = keras.Sequential([ ]) mnist = keras.datasets.mnist (x_train, y_train), (x_test, y_test) = mnist.load_data() x_train, x_test = x_train / 255.0, x_test / 255.0 model.fit(x_train, y_train, epochs=10) model.evaluate(x_test, y_test)