Deep Learning, Regularization Techniques, Python Programming, Data Science, Technology.
optimizer.step() # Print statistics minibatch_loss = loss.item() if i % 500 == 499: print('Loss after mini-batch %5d: %.5f (of which %.5f L1 loss; %0.5f L2 loss)' % (i + 1, minibatch_loss, l1, l2)) current_loss = 0.0 # Process is complete. print('Training process has finished.') Summary By reading