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All convolutions inside of a dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is just attainable if the peak and width Proportions of the data continue being unchanged, so convolutions in a very dense block are all of stride one. Pooling layers are inserted between dense blocks https://financefeeds.com/xrp-price-forecast-will-xrp-hit-10-in-coming-weeks-copyright-whales-are-rushing-to-yeti-ouro-presale-set-to-hit-10-first/

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