機器學習 + 深度學習 + 計算機視覺 + 自然語言處理: 原理, 實踐以及應用 --- 乾貨分享（持續更新…）

• Stanford c231n (Youtube)　××××××
• Google Deep Learning Course on Udacity
  
• [Coursera] Neural Networks for Machine Learning — Geoffrey Hinton 2016
  
• Neural networks class - Université de Sherbrooke
  
• MIT 6.S094: Introduction to Deep Learning and Self-Driving Car
  
• Oxford Machine Learning: 2014-2015
• MIT 6.034 Artificial Intelligence, Fall 2010
• NVIDIA Deep Learning Course
• Practical Deep Learning for Coders
• Deep Learning and Neural Networks (John Hopkins Univ)

Deep Learning Resource from DL4J

A collection of NIPS 2016 Tutorials

Good Blogs:

• http://pinouchon.github.io/
  
• https://adeshpande3.github.io/
• https://yjango.gitbooks.io/superorganism/
  
• Agustinus Kristiadi's Blog (collection of GAN networks explanation and implementation)
  
• http://kexue.fm/
• cleverhans-blog （security and privacy in machine learning）
  

David Silver強化學習公開課: 

1. 強化學習入門
   
2. 馬爾可夫決策過程MDP
   
3. 動態規劃解決MDP的Planning問題
   
4. Model-Free Learning(解決未知Environment下的Prediction問題)
   
5. Model-Free Control(解決未知Environment下的Control問題)
   
6. 求解近似值函數
   
7. Policy Gradient
   
8. Integrating Learning and Planning(對Environment建立模型)
   
9. 探索與利用
   

GAN paper collection：

1. GAN papers
   

聊天機器人　Chat Bot

1. 自己動手做聊天機器人
   

https://tulongf.github.io

http://www.wildml.com/

Tutorial Slides by Andrew Moore  Tutorial Slides by Andrew Moore

machinelearningmastery.com

gloqo.com (deep learning git code repo collection)