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   源码介绍

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def data_prepare():
    path = r"C:\Users\Administrator\PycharmProjects\Project\data_recog\data\mnist.npz" # 使用真实绝对路径  (train_images, train_labels), (test_images, test_labels) = tf.keras.datasets.mnist.load_data(path)
    train_images = train_images.reshape((train_images.shape[0],img_row,img_col,1))
    test_images = test_images.reshape((test_images.shape[0], img_row, img_col, 1))
    train_images = train_images.astype('float32')
    test_images = test_images.astype('float32')
    train_images /= 255.0  test_images /= 255.0  print(train_images.shape,train_labels.shape,test_images.shape) print(train_labels[0])