Generative Adversarial Nets(GAN Tensorflow)
Generative Adversarial Nets（简称GAN）是一种非常流行的神经网络。 它最初是由Ian Goodfellow等人在NIPS 2014论文中介绍的。 这篇论文引发了很多关于神经网络对抗性训练的兴趣，论文的引用次数已接近2700+。 许多变形的GAN出现了：DCGAN，Sequence-GAN，LSTM-GAN等。在NIPS 2016中，甚至会有整个专门针对对抗训练的研讨会！
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相关文章
- 1. Conditional Generative Adversarial Nets
- 2. Triangle Generative Adversarial Networks
- 3. Generative Adversarial Nets（译）
- 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]