Created
September 21, 2020 17:22
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| optimizer = optim.Adam(model.parameters(), lr=1e-3) | |
| criterion = nn.MSELoss(reduction="none") | |
| outputs = model(torch.from_numpy(img)).reshape(translations.shape) | |
| loss = criterion(outputs, translations) | |
| optimizer.zero_grad() | |
| loss.backward() | |
| optimizer.step() |
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