Generative Adversarial Networks: An Overview


Generative adversarial networks (GANs) provide a way to learn deep representations without extensively annotated training data. They achieve this by deriving backpropagation signals through a competitive process involving a pair of networks. The representations that can be learned by GANs may be used in a variety of applications, including image synthesis… (More)
DOI: 10.1109/MSP.2017.2765202


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