All Convolutions inside a dense block are ReLU-activated and use batch normalization. Channel-wise concatenation is just achievable if the height and width Proportions of the data keep on being unchanged, so convolutions in the dense block are all of stride 1. Pooling layers are inserted between dense blocks for https://financefeeds.com/floki-inu-and-pepe-set-for-150-rallies-but-this-new-altcoin-could-show-investors-1500-returns-by-march/