All convolutions inside a dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is only attainable if the height and width Proportions of the data 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/best-metaverse-copyright-tokens-to-buy-now-january-2025/