All convolutions within a dense block are ReLU-activated and use batch normalization. Channel-intelligent concatenation is barely achievable if the height and width Proportions of the data continue being unchanged, so convolutions inside a dense block are all of stride 1. Pooling layers are inserted between dense blocks for even https://financefeeds.com/silencio-network-officially-launches-revolutionizing-noise-data-collection-globally/