Generative Adversarial Networks

doi:doi:10.57702/yednk8mt

Generative Adversarial Networks

Generative Adversarial Networks (GANs) consist of two networks: a generator G(z) and a discriminator D(x). The discriminator is trying to distinguish real objects from objects produced by a generator.

BibTex:

@dataset{Ian_Goodfellow_and_Jean_Pouget-Abadie_and_Mehdi_Mirza_and_Bing_Xu_and_David_Warde-Farley_and_Sherjil_Ozair_and_Aaron_Courville_and_Yoshua_Bengio_2024,
    abstract = {Generative Adversarial Networks (GANs) consist of two networks: a generator G(z) and a discriminator D(x). The discriminator is trying to distinguish real objects from objects produced by a generator.},
    author = {Ian Goodfellow and Jean Pouget-Abadie and Mehdi Mirza and Bing Xu and David Warde-Farley and Sherjil Ozair and Aaron Courville and Yoshua Bengio},
    doi = {10.57702/yednk8mt},
    institution = {No Organization},
    keyword = {'Adversarial Networks', 'Deep Learning', 'GAN', 'GANs', 'Generative Adversarial Networks', 'Generative Models', 'Image Generation', 'Neural Networks', 'Super-Resolution', 'generative adversarial networks'},
    month = {dec},
    publisher = {TIB},
    title = {Generative Adversarial Networks},
    url = {https://service.tib.eu/ldmservice/dataset/generative-adversarial-networks},
    year = {2024}
}