Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
and optimizer criterion = nn.CrossEntropyLoss() optimizer = optim.Adam(model.parameters(), lr=0.001) This code snippet first checks if multiple GPUs are available using torch.cuda.device_count(). If there are more than one GPU, the model is wrapped with nn.DataParallel, allowing it to utilise all