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Image-to-Image Translation Using Conditional DCGANs
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| bce=nn.BCELoss().to(device) | |
| L1=nn.L1Loss().to(device) | |
| k=50 | |
| def criterion(y_hat,y): | |
| loss=bce(y_hat,y)+k*L1(y_hat,y) | |
| return loss |
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