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All convolutions within a dense block are ReLU-activated and use batch normalization. Channel-smart concatenation is just feasible if the height and width Proportions of the info continue being unchanged, so convolutions in the dense block are all of stride 1. Pooling levels are inserted between dense blocks for additional dimensionality reduction.