# Visualize one training batch for images, labels in train_data_loader: fig, ax = plt.subplots(figsize = (10, 10)) ax.set_xticks([]) ax.set_yticks([]) ax.imshow(make_grid(images, 4).permute(1,2,0)) break
Preview:
downloadDownload PNG
downloadDownload JPEG
downloadDownload SVG
Tip: You can change the style, width & colours of the snippet with the inspect tool before clicking Download!
Click to optimize width for Twitter