Hi! My network use image data scaled from (0, 255) to (0, 1) as input and the output data is in (0, 1) too. torch.optim.Adam is used as optimizer and I calculate loss using output and ground truth in (0, 1).
Should I scale the data back to (0, 255) when calculating loss function? Is it useful in training process?