Yes, sure. Let’s see what people say. I’m quite sure it is about efficiency, because according to the theory deep learning should be able to approximate any function. Despite this, I do not know if deconvolutions can archive that faster that fc, or prone less to get stack in a sub-optimal minima. I guess they are a world by itself.