All convolutions within a dense block are ReLU-activated and use batch normalization. Channel-smart concatenation is barely achievable if the peak and width dimensions of the data remain unchanged, so convolutions inside of a dense block are all of stride 1. Pooling levels are inserted between dense blocks for even https://financefeeds.com/is-the-tesla-trend-about-to-lose-power-forever/