Dataset Groups Activity Stream Generative Adversarial Nets Generative adversarial nets (GANs) are a class of deep learning models that consist of two neural networks: a generator and a discriminator. 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 nets (GANs) are a class of deep learning models that consist of two neural networks: a generator and a discriminator.}, 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/o0ovij16}, institution = {No Organization}, keyword = {'CIFAR-10', 'CIFAR-100', 'Data Augmentation', 'GANs', 'Generative Adversarial Networks', 'Generative Modeling', 'Image Classification', 'deep learning'}, month = {dec}, publisher = {TIB}, title = {Generative Adversarial Nets}, url = {https://service.tib.eu/ldmservice/dataset/generative-adversarial-nets}, year = {2024} }
