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All convolutions in a very dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is just doable if the height and width Proportions of the data remain unchanged, so convolutions inside a dense block are all of stride 1. Pooling levels are inserted between dense blocks for even further dimensionality reduction.Va