###### tags: `DeepLearning`

# DeepLearning ai

- [播放清單](https://www.youtube.com/channel/UCcIXc5mJsHVYTZR1maL5l9w/playlists)
- 課程講義：https://github.com/mbadry1/DeepLearning.ai-Summary
- https://zhuanlan.zhihu.com/p/29706138

# Deep Reinforcement Learning

### 資源

- https://pyliaorachel.github.io/blog/tech/python/2018/06/01/openai-gym-for-reinforcement-learning.html
- [李宏毅 RL 筆記](https://hackmd.io/@shaoeChen/Bywb8YLKS/https%3A%2F%2Fhackmd.io%2Fc%2FBywb8YLKS%2Fedit%3Fedit)

# Generative Adversarial Networks

### 資源

- https://github.com/hindupuravinash/the-gan-zoo (會定期更新gan的paper)
- https://insights.untapt.com/deep-reinforcement-learning-and-generative-adversarial-networks-tutorials-with-jupyter-notebooks-6ef4dc6957ea
- [quick intro](https://hackmd.io/@abliu/H1kCeMHmr?type=view)

### 實作 / 楊鈞愷

- [GAN practice 04/06](https://docs.google.com/presentation/d/1nFwMnlH64Dp-BA3Bz-7UFzl3Nj_uy_VO9aOJ4cgqHGQ/edit?usp=sharing)
- [Using Quick, Draw! with keras / Jon Krohn on O'Reilly](https://learning.oreilly.com/videos/deep-reinforcement-learning/9780135171233) ([code](https://github.com/the-deep-learners/TensorFlow-LiveLessons/blob/master/notebooks/generative_adversarial_network.ipynb))
- [手寫數字生成(MNIST+TensorFlow)](https://link.medium.com/8ilICw58n5) ([code](https://github.com/jonbruner/generative-adversarial-networks))
- [手寫數字生成+GAN介紹](https://link.medium.com/XHtXWBwNj5)
- [MNIST+keras(iT邦幫忙系列文)](https://ithelp.ithome.com.tw/articles/10208478)
- [使用GPU](https://www.tensorflow.org/guide/gpu)
- [GPU環境建置](https://link.medium.com/whwWjertp5)

# 環境設定

### Openai gym
- https://towardsdatascience.com/how-to-install-openai-gym-in-a-windows-environment-338969e24d30 (anaconda版)

# NN Model

### How to design a NN model
https://towardsdatascience.com/designing-your-neural-networks-a5e4617027ed