Refine train.
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Before Width: | Height: | Size: 648 B After Width: | Height: | Size: 760 B |
Before Width: | Height: | Size: 698 B After Width: | Height: | Size: 586 B |
Before Width: | Height: | Size: 1.6 KiB After Width: | Height: | Size: 1.5 KiB |
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Before Width: | Height: | Size: 3.4 KiB After Width: | Height: | Size: 3.6 KiB |
Before Width: | Height: | Size: 2.0 KiB After Width: | Height: | Size: 1.2 KiB |
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@ -18,8 +18,8 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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# Hyper-parameters
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num_epochs = 1
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batch_size = 256
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learning_rate = 0.001
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batch_size = 128
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learning_rate = 0.2
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transform = transforms.Compose([transforms.ToTensor()])
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