Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
model.to(device) # Move the model to the desired device (CPU or GPU) # Check if multiple GPUs are available if torch.cuda.device_count() > 1: print("Using", torch.cuda.device_count(), "GPUs for training.") model = nn.DataParallel(model) # Wrap the model with DataParallel # Define your loss function