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All convolutions in the dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is barely possible if the peak 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 further dimensionality reduction.Williams