All Convolutions in the dense block are ReLU-activated and use batch normalization. Channel-clever concatenation is barely feasible if the height and width dimensions of the data continue to be unchanged, so convolutions within a dense block are all of stride 1. Pooling levels are inserted between dense blocks for https://financefeeds.com/discover-qubetics-as-the-top-copyright-presale-2025-and-3-other-coins-making-waves/