Conditional Generative Adversarial Nets（CGAN）
前言： 这篇博客为阅读论文后的总结与感受，方便日后翻阅、查缺补漏，侵删！ 论文：Conditional Generative Adversarial Nets 参考：博客一、博客二 解决的问题： 介绍这个问题前，我们首先回顾GAN的优点与缺点： GAN 的优点： ● GAN是一种生成式模型，相比较其他生成模型（玻尔兹曼机和GSNs）只用到了反向传播，而不需要复杂的马尔科夫链。 ● 相比其他所
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相关文章
- 1. [GAN_papers]CGAN+Conditional Generative Adversarial Nets
- 2. Conditional Generative Adversarial Nets
- 3. Wasserstein Generative Adversarial Nets (WGAN ) and CGAN
- 4. Conditional Generative Adversarial Networks（CGAN）笔记
- 5. C-GAN(2014):Conditional Generative Adversarial Nets
- 6. cGAN:Conditional Generative Adversarial Nets
- 7. Conditional Generative Adversarial Nets论文翻译
- 8. 《Conditional Generative Adversarial Nets》论文解析
- 9. 论文阅读——《Conditional Generative Adversarial Nets》
- 10. Generative Adversarial Nets[pix2pix]