plt.figure(figsize=(10,10))
for i in range(25): plt.subplot(5,5,i+1) plt.xticks([])
plt.yticks([]) plt.grid(False) plt.imshow(train_images[i],
cmap=plt.cm.binary) plt.xlabel(class_names[train_labels[i]])
plt.show()
submitted by /u/Real_Scholar2762
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