Generative Adversarial Nets(GAN Tensorflow)
Generative Adversarial Nets（簡稱GAN）是一種非常流行的神經網絡。 它最初是由Ian Goodfellow等人在NIPS 2014論文中介紹的。 這篇論文引發了很多關於神經網絡對抗性訓練的興趣，論文的引用次數已接近2700+。 許多變形的GAN出現了：DCGAN，Sequence-GAN，LSTM-GAN等。在NIPS 2016中，甚至會有整個專門針對對抗訓練的研討會！
相關文章
- 1. Conditional Generative Adversarial Nets
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- 3. Generative Adversarial Nets（譯）
- 4. paper：Conditional Generative Adversarial Nets
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相關文章
- 1. Conditional Generative Adversarial Nets
- 2. Triangle Generative Adversarial Networks
- 3. Generative Adversarial Nets（譯）
- 4. paper：Conditional Generative Adversarial Nets
- 5. Generative Adversarial Nets[CycleGAN]
- 6. Graphical Generative Adversarial Networks
- 7. Generative Adversarial Nets_GAN_paperReading
- 8. Generative Adversarial Nets
- 9. cGAN:Conditional Generative Adversarial Nets
- 10. Generative Adversarial Nets[pix2pix]