>>> fig.show()  The images are all different sizes though, so you’ll need to preprocess them first: Resize changes the image size to the one defined in config.image_size. RandomHorizontalFlip augments the dataset by randomly mirroring the images. Normalize is important to rescale the pixel values into a [-1, 1] range, which is what the model expects.   Copied >>> from torchvision import transforms