tf_2_mnist.py

(train_images, train_labels), (test_images, test_labels) = datasets.mnist.load_data()

class_names = ['zero', 'one', 'two', 'three', 'four', 'five',
               'six', 'seven', 'eight', 'nine']

plt.figure(figsize=(10,10))
for i in range(16):
    plt.subplot(4, 4, i+1)
    plt.xticks([])
    plt.yticks([])
    plt.imshow(train_images[i], cmap=plt.cm.binary)
    plt.xlabel(class_names[train_labels[i]])
plt.show()