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All convolutions in a dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is just feasible if the peak and width Proportions of the information keep on being unchanged, so convolutions in the dense block are all of stride 1. Pooling layers are inserted between dense blocks for even further dimensionality reduc