Generative Adversarial Networks

Data Skeptic

GANs are an unsupervised learning method involving two neural networks iteratively competing. The discriminator is a typical learning system. It attempts to develop the ability to recognize members of a certain class, such as all photos which have birds in them. The generator attempts to create false examples which the discriminator incorrectly classifies. In successive training rounds the networks examine each and play a mini-max game of trying to harm the performance of the ot

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