All convolutions inside of a dense block are ReLU-activated and use batch normalization. Channel-wise concatenation is barely doable if the peak and width dimensions of the data remain unchanged, so convolutions in a dense block are all of stride 1. Pooling layers are inserted between dense blocks for more https://financefeeds.com/blockdags-affiliate-programs-success-unlock-10-cashback-plus-avax-trends-hbar-price-analysis/