0 | i keep seeing some layers in caffe that has two bottoms(source) or tops(destination) in Neural networks architecture,for example this is Segnet data layer that has two tops ,data and label given from the same source file on the same line img1.png lagel1.png
and these from Pascal-object-detection-fc
that have two bottoms. I would appreciate if someone could explain the implication of having those into one layer and why not have different layer for each. Another thing,if a layer reference its self as top/bottom, does it mean it does not do forward/backward calculations? |