All convolutions within a dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is just attainable if the height and width Proportions of the data keep on being unchanged, so convolutions in a very dense block are all of stride 1. Pooling layers are inserted between dense blocks https://financefeeds.com/blackrock-launches-bitcoin-etf-on-cboe-copyright/