Generative Adversarial Networks Notes

My notes for Prof. Hung-Yi Lee's lectures on Generative Adversarial Networks. I really enjoy the lectures, I hope my notes are useful.

Contents

1. Introduction
2. Conditional Generation
3. Unsupervised Conditional Generation
4. Theory Behind GAN
5. General Framework
6. Tips for Improving GAN
7. Info GAN, VAE-GAN, BiGAN
8. Photo Editing
9. Sequence Generation work in progress
10. Evaluation

Links :

• Course Slides

Acknowledgement

Thanks to Prof. Hung-Yi Lee for sharing knowledge for free.

Disclaimer

These notes are based on my understanding of Prof Lee's lectures. Any error or mistake you discovered in the notes is my mistake. For clarity, please go through the presentation slides.