使用matplotlib展示图片：

# -*- coding: UTF-8 -*-
import matplotlib.pyplot as plt
from keras.datasets import mnist

# 加载数据
local_path = 'D:/data/keras/mnist.npz'
(x_train, y_train), (x_test, y_test) = mnist.load_data(path=local_path);
print(x_train.shape, y_train.shape, x_test.shape, y_test.shape)
# (60000, 28, 28) (60000,) (10000, 28, 28) (10000,)

# 显示训练集中的前16张图片
plt.figure(figsize=(6, 6))
for i in range(16):
    plt.subplot(4, 4, i + 1)
    plt.imshow(x_train[i])
    plt.xlabel(y_train[i])
plt.subplots_adjust(hspace=1)
plt.show()

一个创业中的苦逼程序员