All Convolutions in the dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is only achievable if the peak and width dimensions of the data keep on being unchanged, so convolutions in a dense block are all of stride 1. Pooling layers are inserted between dense blocks for https://financefeeds.com/c4-kol-incubation-school-empowering-the-next-wave-of-copyright-creators/