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All convolutions inside of a dense block are ReLU-activated and use batch normalization. Channel-intelligent concatenation is simply probable if the height and width Proportions of the information stay unchanged, so convolutions inside a dense block are all of stride one. Pooling levels are inserted between dense blocks for even more dimensionality