Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
criterion = nn.CrossEntropyLoss() optimizer = optim.SGD(model.parameters(), lr=0.01) # Inside the training loop optimizer.zero_grad() outputs = model(inputs) loss = criterion(outputs, targets) # L1 regularization regularization_loss = 0.0 for param in model.parameters(): regularization_loss +=