All convolutions within a dense block are ReLU-activated and use batch normalization. Channel-clever concatenation is barely probable if the height and width Proportions of the information continue being unchanged, so convolutions in a dense block are all of stride 1. Pooling levels are inserted between dense blocks for further more dimensionality