Continuing from the previous post(168_Image Classification using Torchvision). image_datasets = { d: ImageFolder(f'{DATA_DIR}/{d}', transforms[d]) for d in DATASETS}data_loaders = { d: DataLoader(image_datasets[d], batch_size=4, shuffle=True, num_workers=4) for d in DATASETS} Here, to facilitate easier training, PyTorch datasets and data loaders are created for each image dataset folder. Dat..