All Convolutions in the dense block are ReLU-activated and use batch normalization. Channel-wise concatenation is just feasible if the peak and width Proportions of the data keep on being unchanged, so convolutions in a very dense block are all of stride one. Pooling layers are inserted between dense blocks https://financefeeds.com/missed-solana-sol-below-2-cardano-ada-and-rexas-finance-rxs-present-new-opportunities-to-get-super-rich/