All convolutions in the dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is just probable if the height and width Proportions of the data remain unchanged, so convolutions inside a dense block are all of stride 1. Pooling layers are inserted between dense blocks for further dimensionality https://financefeeds.com/next-alt-coin-to-explode-3-picks-poised-to-rocket-your-portfolio-40x-by-2025/