Hi, from the literature it is known that normally in NN it is used a Softmax for classification and a Sigmoid for regression.
My question is always required an activation function at the end. I am trying a U-net to acquire pixel wise depth in a scene from rgb. and I get better results if I don’t use any sigmoid at the end. I was wondering that maybe there is a logical explanation for that.