Generative Adversarial Networks (GAN)
The generative network generates candidates while the discriminative network evaluates them. Typically, the generative network learns to map from a latent space to a data distribution of interest, while the discriminative network distinguishes candidates produced by the generator from the true data distribution. The generative network's training objective is to increase the error rate of the discriminative network.
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