All convolutions in the dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is barely feasible if the peak and width Proportions of the information stay unchanged, so convolutions inside a dense block are all of stride 1. Pooling levels are inserted between dense blocks for further more https://financefeeds.com/5-top-performing-copyright-projects-in-2025/