keras 手写数字， 数据集的识别(基于tensorflow 2.x)

import tensorflow as tf
from tensorflow.keras import layers
data = tf.keras.datasets.mnist

(training_images, training_labels), (test_images, test_labels) = data.load_data()

training_images = training_images / 255.0
test_images = test_images / 255.0

model = tf.keras.models.Sequential([layers.Flatten(input_shape=(28, 28)),
                                    layers.Dense(128, activation=tf.nn.relu),
                                    layers.Dense(10, activation=tf.nn.softmax)
                                    ])

model.compile(optimizer="adam",
              loss="sparse_categorical_crossentropy",
              metrics=["accuracy"])

model.fit(training_images, training_labels, epochs=10)
model.evaluate(test_images, test_labels)