All convolutions within a dense block are ReLU-activated and use batch normalization. Channel-clever concatenation is just feasible if the peak and width Proportions of the data remain unchanged, so convolutions in a dense block are all of stride one. Pooling layers are inserted between dense blocks for additional dimensionality https://financefeeds.com/after-seeing-dogecoin-doge-and-this-defi-coin-pump-over-350-shiba-inu-shib-holders-now-started-rotating-their-funds/