Overview of CycleGAN architecture and training. | by Fei Wu
https://towardsdatascience.com/overview-of-cyclegan-architecture-and-training-afee31612a2f
WEBDec 2, 2019 · Introduction. Generative Adversarial Models (GANs) are composed of 2 neural networks: a generator and a discriminator. A CycleGAN is composed of 2 GANs, making it a total of 2 generators and 2 discriminators. Given 2 sets of different images, horses and zebras for example, one generator transform horses into zebras and the …
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