Machine Learning - ZeroWiki

Difference between r1.24 and the current

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* [Artificial Neural Network]

== 강화학습(Reinforce Learning) ==

* Book

* [https://dnddnjs.gitbooks.io/rl/content Fundamental of Reinforcement Learning]

* 강의
* [http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html UCL Course on RL]
* [https://www.youtube.com/watch?v=2pWv7GOvuf0 Youtube]
* 책
* [http://incompleteideas.net/sutton/book/bookdraft2017june19.pdf Reinforcement Learning: An Introduction]

* [https://dnddnjs.gitbooks.io/rl/content Fundamental of Reinforcement Learning]

* Slide
* [http://icml.cc/2016/tutorials/deep_rl_tutorial.pdf Deep RL Tutorial - David Silver]

* [https://www.slideshare.net/carpedm20/ss-63116251 텐서플로우 설치도 했고 튜토리얼도 봤고 기초 예제도 짜봤다면 TensorFlow KR Meetup 2016]

* Articles
* [http://ishuca.tistory.com/391 Simple Reinforcement Learning with Tensorflow 한국어 번역]

* Resource

* [https://gym.openai.com OpenAI Gym] : 실습 가능한 환경을 제공

* Code

* [https://github.com/golbin/TensorFlow-Tutorials/tree/master/10%20-%20DQN tensorflow tutorial]

== 링크들 ==
* http://wiki.zeropage.org/wiki.php/MachineLearning%EC%8A%A4%ED%84%B0%EB%94%94
* http://www.reddit.com/r/MachineLearning/comments/20i0vi/meta_collection_of_links_for_beginners_faq

예비 지식 ¶

확률과 통계
선형대수학

분류(Classification) ¶

Naive Bayesian Classifier
Artificial Neural Network

강화학습(Reinforce Learning) ¶

강의
- UCL Course on RL
  - Youtube
책
- Reinforcement Learning: An Introduction
- Fundamental of Reinforcement Learning
Slide
- Deep RL Tutorial - David Silver
- 텐서플로우 설치도 했고 튜토리얼도 봤고 기초 예제도 짜봤다면 TensorFlow KR Meetup 2016
Articles
- Simple Reinforcement Learning with Tensorflow 한국어 번역
Resource
- OpenAI Gym : 실습 가능한 환경을 제공
Code
- tensorflow tutorial

링크들 ¶

Links ¶

https://www.coursera.org/course/neuralnets