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Update image_classification_tutorial.ipynb
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examples/image_classification_tutorial.ipynb

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" mapping=mapping,\n",
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" mode=\"test\")\n",
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"\n",
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"# If you have lower amount of processing power set num_workers to 0\n"
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"# If you have lower amount of processing power set num_workers to 0\n",
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"train_loader = torch.utils.data.DataLoader(train_dataset, batch_size=32, shuffle=True, num_workers=2)\n",
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"val_loader = torch.utils.data.DataLoader(valid_dataset, batch_size=1, shuffle=False, num_workers=2)\n",
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"test_loader = torch.utils.data.DataLoader(test_dataset,batch_size=1, shuffle=False, num_workers=2)"

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