All convolutions in the dense block are ReLU-activated and use batch normalization. Channel-wise concatenation is just doable if the peak and width Proportions of the info keep on being unchanged, so convolutions within a dense block are all of stride 1. Pooling levels are inserted between dense blocks for https://financefeeds.com/cobase-acquisition-drives-23-growth-in-alpha-group-revenue/