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All convolutions within a dense block are ReLU-activated and use batch normalization. Channel-intelligent concatenation is just possible if the height and width Proportions of the data keep on being unchanged, so convolutions inside of a dense block are all of stride one. Pooling layers are inserted between dense blocks for additional dimensionalit