https://m.facebook.com/groups/255834461424286?view=permalink&id=448254728848924

이제 GAN만으로 한학기 수업을 할수 있을만큼 논문과 재미있는 이야기들이 많이 나오고 있습니다.  이럴때 한번 쫙 읽으시면 도움이 되는 JaeJun Yoo 님의 재미난글:

1. Generative Adversarial Nets (1), http://jaejunyoo.blogspot.com/2017/01/generative-adversarial-nets-1.html

2. Generative Adversarial Nets (2) http://jaejunyoo.blogspot.com/2017/01/generative-adversarial-nets-2.html

3. Domain-Adversarial Training of Neural Networks (DANN) (1) http://jaejunyoo.blogspot.com/2017/01/domain-adversarial-training-of-neural.html

4. Domain-Adversarial Training of Neural Networks (DANN) (2) http://jaejunyoo.blogspot.com/2017/01/domain-adversarial-training-of-neural-2.html

5. Domain-Adversarial Training of Neural Networks (DANN) (3) http://jaejunyoo.blogspot.com/2017/01/domain-adversarial-training-of-neural-3.html

6.  Deep Convolutional Generative Adversarial Network (DCGAN) (1) http://jaejunyoo.blogspot.com/2017/02/deep-convolutional-gan-dcgan-1.html

7.  Deep Convolutional Generative Adversarial Network (DCGAN) http://jaejunyoo.blogspot.com/2017/02/deep-convolutional-gan-dcgan-2.html

8. Unrolled Generative Adversarial Networks (1) http://jaejunyoo.blogspot.com/2017/02/unrolled-generative-adversarial-network-1.html

9. Unrolled Generative Adversarial Networks (2) http://jaejunyoo.blogspot.com/2017/02/unrolled-generative-adversarial-network-2.html

10. InfoGAN (1) http://jaejunyoo.blogspot.com/2017/03/infogan-1.html

11. InfoGAN (2)
 http://jaejunyoo.blogspot.com/2017/03/infogan-2.html

12. LSGAN (1) http://jaejunyoo.blogspot.com/2017/03/lsgan-1.html

"초짜 대학원생의 입장에서 이해하는" 시리즈인데, 제생각에는 "최고수 대학원생의 입장에서 이해하는" 으로 바꾸어야 할듯합니다.

"내 멋대로 정리 및 결론" 코너도 매우 재미있고 유쾌하게 논문을 정리해줍니다.
Posted by uniqueone
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