All convolutions within a dense block are ReLU-activated and use batch normalization. Channel-intelligent concatenation is barely feasible if the peak and width Proportions of the data keep on being unchanged, so convolutions within a dense block are all of stride 1. Pooling layers are inserted between dense blocks for https://financefeeds.com/monthly-market-insights-january-2025-a-comprehensive-look-at-cryptos-evolution/