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All convolutions in a very dense block are ReLU-activated and use batch normalization. Channel-smart concatenation is only attainable if the height and width dimensions of the information stay unchanged, so convolutions in the dense block are all of stride 1. Pooling levels are inserted between dense blocks for even further dimensionality reduction