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All convolutions in a very dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is simply probable if the height and width dimensions of the info keep on being unchanged, so convolutions in a dense block are all of stride 1. Pooling levels are inserted between dense blocks https://financefeeds.com/chatgpt-4o-identifies-the-next-copyright-with-bigger-potential-than-pepe-coin-pepe-and-dogecoin-doge/
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