All convolutions inside a dense block are ReLU-activated and use batch normalization. Channel-intelligent concatenation is only probable if the height and width dimensions 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/dogecoin-price-prediction-doge-to-3-elliott-wave-expert-shares-bullish-forecast/