All convolutions within a dense block are ReLU-activated and use batch normalization. Channel-smart concatenation is simply attainable if the height and width dimensions of the info keep on being unchanged, so convolutions inside a dense block are all of stride 1. Pooling levels are inserted between dense blocks for https://financefeeds.com/top-3-best-new-meme-coins-to-invest-in-for-long-term-unlock-the-potential-to-reach-high-roi-by-investing-in-btfd/