All convolutions within a dense block are ReLU-activated and use batch normalization. Channel-wise concatenation is simply doable if the height and width dimensions of the information keep on being unchanged, so convolutions in the dense block are all of stride 1. Pooling levels are inserted between dense blocks for https://financefeeds.com/top-5-icos-to-join-in-2025-shortcut-to-copyright-success/