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L2 loss L2 based weight decay can also be implemented by setting a delta value for weight_decay in the optimizer. weight_decay (float, optional) — weight decay (L2 penalty) (default: 0) PyTorch (n.d.) For example: optimizer = torch.optim.Adam(mlp.parameters(), lr=1e-4, weight_decay=1.0) Example of