All convolutions in the dense block are ReLU-activated and use batch normalization. Channel-intelligent concatenation is simply feasible if the height and width Proportions of the info 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/is-this-the-next-pengu-new-bird-meme-coin-flockerz-raises-9-5m-in-presale/
Convolution neural network architecture - An Overview
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