You could calculate the mean and stddev from your training dataset. Alternatively, you could use the ImageNet stats if your dataset is from a similar domain (natural images).
Often just 0.5 works fine so you would have to try it out.
I’m not sure if it’s a good idea to learn these preprocessing steps as they often are a good way to speed up training or make it feasible in the first place.