4ffb0d2ba92f664c2281970110a2e071-Paper.pdf

TheobjectiveofGANs istoproduce random samples from atarget data distribution, given only access toan initial set of training samples. This isachievedbylearning twofunctions: ageneratorG,which maps random input noise to a generated sample, and a discriminatorD, which tries to classify input samples as either real (i.e., from the training dataset) or fake (i.e., produced by the generator).