THE DEFINITIVE GUIDE TO LUIGI ON A CROSS

All convolutions in a very dense block are ReLU-activated and use batch normalization. Channel-intelligent concatenation is just possible if the height and width dimensions of the info continue being unchanged, so convolutions inside a dense block are all of stride 1. Pooling levels are inserted between dense blocks for further dimensionality reduc