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Results tagged with gan
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user 74281
GAN refers to Generative Adversarial Networks. Such networks is made of two networks that compete against each other. The first one generates new samples and the second one discriminates between generated samples and true samples.
17
votes
1
answer
14k
views
what is the main difference between GAN and autoencoder?
what is the main difference between GAN and other older generative models? what were the characteristics of GAN that made it more successful than other generative models? …
2
votes
1
answer
1k
views
Comparsion between DCGAN and WGAN
What is the main architectural difference between DCGAN and WGAN? For which problems each models can be more useful than the other one?