All convolutions within a dense block are ReLU-activated and use batch normalization. Channel-intelligent concatenation is just possible if the peak and width dimensions of the data stay unchanged, so convolutions inside a dense block are all of stride one. Pooling layers are inserted between dense blocks for further more https://financefeeds.com/arbitrum-60-downs-looks-like-failing-tech-is-about-to-be-over-shadowed-by-1fuel-exchange/