Deep Learning, Regularization Techniques, Python Programming, Data Science, Technology.
Elastic Net (L1 + L2) Regularization with PyTorch It is also possible to perform Elastic Net Regularization with PyTorch. This type of regularization essentially computes a weighted combination of L1 and L2 loss, with the weights of both summing to 1.0. In other words, we add to the loss component: