All convolutions inside a dense block are ReLU-activated and use batch normalization. Channel-intelligent concatenation is barely possible if the height and width dimensions of the data stay unchanged, so convolutions inside a dense block are all of stride one. Pooling levels are inserted between dense blocks for even more https://financefeeds.com/singapore-blocks-polymarket-amid-crackdown-on-gambling/