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. Author manuscript; available in PMC: 2021 Sep 27.
Published in final edited form as: Data Min Knowl Discov. 2020 Nov 17;35(1):46–87. doi: 10.1007/s10618-020-00722-8

Fig. 6.

Fig. 6

An illustration of a GAN. The goal of the discriminator network is to distinguish real data from fake data, and the goal of the generator network is to use the feedback from the discriminator to generate data that the discriminator cannot distinguish from real.