Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
range(num_epochs): for batch_idx, (data, targets) in enumerate(train_loader): data, targets = data.to(device), targets.to(device) # Zero the gradients optimizer.zero_grad() # Enable autocasting for mixed precision with autocast(): # Forward pass outputs = model(data) loss = criterion(outputs,