最近做了一个从传统GAN到improved WGAN的报告,把PPT贴上来吧,有需要的小伙伴可以参考一下。论文主要涉及到17年的三篇文章: Arjovsky M, Bottou L. Towards Principled Methods for Training Generative Adversarial Networks[J]. 2017.Arjovsky M, Chintala S, Bottou L. Wasserstein GAN[J]. 2017.Gulrajani I, Ahmed F, Arjovsky M, et al. Improved Training of Wasserstein GANs[J]. 2017.从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN从传统GAN到improved WGAN在做报告的过程中,有参考网上的一些博客,特别是中山大学的郑华滨的博文给了很大的帮助。

作者:Wayne链接:https://www.zhihu.com/question/52602529/answer/169626095来源:知乎著作权归作者所有。商业转载请联系作者获得授权,非商业转载请注明出处。

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