I am trying to train a UNet for road segmentation. When I normalize the images using transforms.Normalize((0.5,0.5,0.5),(0.5,0.5,0.5))  the loss decreases but if I normalize the images by dividing them by 255.0 then the loss stops decreasing after a certain point. What is the difference between the two?