All convolutions in the dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is simply achievable if the height and width Proportions of the information remain unchanged, so convolutions within a dense block are all of stride one. Pooling layers are inserted between dense blocks for further dimensionality https://financefeeds.com/global-brokerage-iux-adopts-integral-technology-to-support-growth/