I understood that it is not necessary to scale the output of a neural Network when I predict a single value via regression.
Is it necessary do normalize the Outputs of my neural Network if I have multiple outputs that vary in magnitudes between 10^-2 and 10^4? My intuition would tell me that the loss function might ignore the smaller values and only focus on the values of a bigger magnitude.