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We propose a two time-scale update rule (TTUR) for training GANs with stochastic gradient descent on arbitrary GAN loss functions. TTUR has an individual learning rate for both the discriminator and the generator. Using the theory of stochastic approximation, we prove that the TTUR converges under mild assumptions to a stationary local Nash equilibrium. The convergence carries over to the popular Adam optimization, for which we prove that it follows the dynamics of a heavy ball with friction and thus prefers flat minima in the objective landscape. For the evaluation of the performance of GANs at image generation, we introduce the ”Fréchet Inception Distance” (FID) which captures the similarity of generated images to real ones better than the Inception Score. In experiments, TTUR improves learning for DCGANs and Improved Wasserstein GANs (WGAN-GP) outperforming conventional GAN training on CelebA, CIFAR-10, SVHN, LSUN Bedrooms, and the One Billion Word Benchmark. Focus to learn more. Submission history. Full-text links: Download a PDF of the paper titled GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium, by Martin Heusel and 4 other authors. Başrollerinde Emre Kınay ve Dolunay Soysert'in yer aldığı Fox tv dizisi Tozlu Yaka oyuncu kadrosunda Tayanç Ayaydın, Kaan Mirac Sezen, Ecem Çalhan, Ulvi KAhyaoğlu, Çağla Şimşek, Can Bartu Aslan, Serra Pirinç, Nur Yazar, Nebil Sayın, Kadim Yaşar, Özgür Foster, Ahmet Haktan Zavlak, Duygu Özşen, Oğulcan vavada numarası Arman Uslu, Durukan Çelikkaya, Doğa Lara Akkaya ve Egemen Almacı yer almaktadır. Discover, stream and download high-quality Pop songs, music mp3, mp4 video today! Duration: 06:52. Duration: 03:40. Cilt, On İki numarası Levha Yayıncılık, 1.