All convolutions in the dense block are ReLU-activated and use batch normalization. Channel-wise concatenation is simply feasible if the height and width Proportions of the information keep on being unchanged, so convolutions within a dense block are all of stride one. Pooling layers are inserted between dense blocks for https://financefeeds.com/future-millionaires-guide-7-best-altcoins-to-invest-in-for-january-2025-with-massive-potential/