All convolutions inside of a dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is just doable if the peak and width dimensions of the information keep on being unchanged, so convolutions within a dense block are all of stride 1. Pooling levels are inserted between dense blocks https://financefeeds.com/copyright-announces-mark-jennings-as-head-of-europe-daniel-slutzkin-as-head-of-the-uk/