Fig. 3From: MetaNN: accurate classification of host phenotypes from metagenomic data using neural networksIllustration of random dropout where dropout units are shown as blue filled circles. a No dropout. b With dropout. As it can be seen, connections to the dropout units are also disabled. Since we randomly choose dropout units in NNs, this means we effectively combine exponentially many different NN architectures to prevent data over-fittingBack to article page