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All convolutions in the dense block are ReLU-activated and use batch normalization. Channel-intelligent concatenation is only possible if the peak and width Proportions of the information keep on being unchanged, so convolutions in a very dense block are all of stride 1. Pooling layers are inserted between dense blocks for additional dimensionality