Do you want to know the details about “pytorch l2 regularization”. If yes, you’re in the correct post.
pytorch l2 regularization
# add l2 regularization to optimzer by just adding in a weight_decay optimizer = torch.optim.Adam(model.parameters(),lr=1e-4,weight_decay=1e-5)
loss = mse(pred, target) l1 = 0 for p in net.parameters(): l1 = l1 + p.abs().sum() loss = loss + lambda_l1 * l1 loss.backward() optimizer.step()
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