All convolutions inside of a dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is simply possible if the peak and width Proportions of the info remain unchanged, so convolutions in a dense block are all of stride 1. Pooling layers are inserted between dense blocks for further https://financefeeds.com/ripple-taps-chainlink-to-integrate-rlusd-into-defi-applications/
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