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All convolutions within a dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is simply attainable if the height and width dimensions of the data continue to be unchanged, so convolutions within a dense block are all of stride 1. Pooling layers are inserted between dense blocks for https://financefeeds.com/4-best-meme-coins-with-1000x-potential-ready-to-explode-in-2025/

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