All convolutions in the dense block are ReLU-activated and use batch normalization. Channel-wise concatenation is barely achievable if the peak and width Proportions of the data continue to be unchanged, so convolutions within a dense block are all of stride one. Pooling levels are inserted between dense blocks for https://financefeeds.com/a-modest-350-investment-in-this-xrp-and-cardano-rival-could-grow-into-a-6-figure-portfolio-by-2026/