All convolutions in a very dense block are ReLU-activated and use batch normalization. Channel-smart concatenation is only possible if the peak and width Proportions of the data stay unchanged, so convolutions inside a dense block are all of stride one. Pooling levels are inserted between dense blocks for more dimensionality reduction.According to