Created
August 31, 2019 13:50
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| ## functions to show an image | |
| def imshow(img): | |
| #img = img / 2 + 0.5 # unnormalize | |
| npimg = img.numpy() | |
| plt.imshow(np.transpose(npimg, (1, 2, 0))) | |
| ## get some random training images | |
| dataiter = iter(trainloader) | |
| images, labels = dataiter.next() | |
| ## show images | |
| imshow(torchvision.utils.make_grid(images)) |
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