All Convolutions within a dense block are ReLU-activated and use batch normalization. Channel-wise concatenation is just probable if the peak and width Proportions of the data continue being unchanged, so convolutions inside a dense block are all of stride one. Pooling levels are inserted between dense blocks for further https://financefeeds.com/global-fx-market-summary-us-dollar-weakness-ecb-commodities-and-global-risk-factors-20-january-2025/