All convolutions in a dense block are ReLU-activated and use batch normalization. Channel-smart concatenation is barely feasible if the height and width dimensions of the data remain unchanged, so convolutions in the dense block are all of stride one. Pooling levels are inserted between dense blocks for additional dimensionality https://financefeeds.com/moomoo-and-seeking-alpha-partner-for-mutual-user-benefits/