Pytorch, Torch, Torchvision, Deep Learning, Python.
already imported. Following by computation of the gradient in the backward propagation and updating the weight with the optimizer. for epoch in range(num_epochs): for images, labels in train_loader: # Transfering images and labels to the available device images, labels = images.to(device),