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All convolutions inside a dense block are ReLU-activated and use batch normalization. Channel-smart concatenation is barely possible if the height and width Proportions of the data keep on being unchanged, so convolutions within a dense block are all of stride 1. Pooling levels are inserted between dense blocks for further more dimensionality reduc