All convolutions within a dense block are ReLU-activated and use batch normalization. Channel-intelligent concatenation is barely feasible if the peak and width Proportions of the data remain unchanged, so convolutions in a very dense block are all of stride one. Pooling layers are inserted between dense blocks for even https://financefeeds.com/looking-ahead-to-2025-key-copyright-trends-and-growth-projections/