深度学习 机器学习 课程

2017-12-19 Queen 目标检测和深度学习

本文整理了机器学习/深度学习比较优秀的线上开放课程，一般来说，入门机器学习的经典课程是Stanford: CS229，入门深度学习的经典课程是Stanford: CS231n。

Table of Contents

• Deep Learning
• Machine Learning
• Reinforcement Learning
• Computer Vision
• Artificial Intelligence

Deep Learning

1. [CMU: 11-785 Introduction to Deep Learning](http://deeplearning.cs.cmu.edu/) [Spring 2018] [DL]
2. [Stanford: CS230 Deep Learning](https://web.stanford.edu/class/cs230/) [Winter 2018][DL] [[Ng中文笔记-黄海广](http://www.ai-start.com/)]
3. [University of Chicago: CMSC 35246 Deep Learning ](http://ttic.uchicago.edu/~shubhendu/Pages/CMSC35246.html) [Spring 2017][DL]
4. [Stanford: CS231n Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/) [Spring 2017][CV] [[中文翻译](http://www.mooc.ai/course/268#modal)]
5. [Stanford: CS224n Natural Language Processing with Deep Learning](http://web.stanford.edu/class/cs224n/) [Winter 2018][NLP]
6. [Stanford: CS 20 Tensorflow for Deep Learning Research](http://web.stanford.edu/class/cs20si/) [Winter 2018][TensorFlow]
7. [Stanford: Theories of Deep Learning (STATS 385)](https://stats385.github.io/) [Fall 2017][DL]
8. [CMU: 10707 Deep Learning](http://www.cs.cmu.edu/~rsalakhu/10707/) [Fall 2017][DL]
9. [National Taiwan University: Applied Deep Learning /Machine Learning and Having It Deep and Structured](https://www.csie.ntu.edu.tw/~yvchen/f106-adl/) [2017 Fall][DL] [[Hung-yi Lee](http://speech.ee.ntu.edu.tw/~tlkagk/index.html)]
10. [Theano: Deep Learning Tutorials](http://deeplearning.net/tutorial/) [Theano]
11. [Mxnet: Deep Learning-The Straight Dope](http://gluon.mxnet.io/) [2017][Mxnet] [[中文](http://zh.gluon.ai/)]
12. [MIT: 6.S191 Introduction to Deep Learning](http://introtodeeplearning.com/) [2018][DL]
13. [UVA: DEEP LEARNING COURSE](http://uvadlc.github.io/) [DL]
14. [Fast.ai: Practical Deep Learning For Coders](http://course.fast.ai/) [2018][DL]
15. [CMU: CS 11-747 Neural networks fro NLP](http://phontron.com/class/nn4nlp2018/#) [Spring 2018][NLP]
16. [Stanford: CS224S / LINGUIST285 - Spoken Language Processing](http://web.stanford.edu/class/cs224s/) [Spring 2017][Speech Recognition]
17. [Berkeley: CS 294-131: Special Topics in Deep Learning](https://berkeley-deep-learning.github.io/cs294-131-f17/) [Fall 2017][Advanced DL]
18. [CMU: 16-385 Computer Vision](http://www.cs.cmu.edu/~16385/) [Spring 2018][CV]
19. [Columbia University: E6894 Deep Learning for Computer Vision, Speech, and Language](http://llcao.net/cu-deeplearning17/schedule.html) [Spring 2017][DL]
20. [Colorado: CSCI 5922 Neural Networks and Deep Learning](https://www.cs.colorado.edu/~mozer/Teaching/syllabi/DeepLearningFall2017/) [Fall 2017][DL]
21. [UIUC: CS 598 LAZ Cutting-Edge Trends in Deep Learning and Recognition](http://slazebni.cs.illinois.edu/spring17/) [2017][DL]
22. [UPC: Deep Learning for Speech and Language](https://telecombcn-dl.github.io/2017-dlsl/) [2017 Winter][Speech Recognition]
23. [toronto: CSC 321 Intro to Neural Networks and Machine Learning](http://www.cs.toronto.edu/~rgrosse/courses/csc321_2018/) [CSC 321 Winter 2018][DL]

Computer Vision

1.[toronto: CSC420: Intro to Image Understanding](http://www.teach.cs.toronto.edu/~csc420h/fall/) [Fall 2017][CV]

Machine Learning

1. [Stanford: CS229 Machine Learning](http://cs229.stanford.edu/) [Autumn 2017][ML]
2. [University of Notre Dame: Statistical Computing for Scientists and Engineers](https://www.zabaras.com/statisticalcomputing) [Fall 2017][SL]
3. [CMU: Statistical Machine Learning](http://www.stat.cmu.edu/~ryantibs/statml/) [Spring 2017][ML]
4. [Carnegie Mellon University:10-701/15-781 Machine Learning](http://www.cs.cmu.edu/~tom/10701_sp11/) [Spring 2011][ML]
5. [toronto: CSC411 introduction to Machine Learning](http://www.cs.toronto.edu/~jlucas/teaching/csc411/) [Fall 2017][ML]
6. [MIT: 6.S099 Artificial General Intelligence](https://agi.mit.edu/) [2018]
7. [MIT 6.S094: Deep Learning for Self-Driving Cars](https://selfdrivingcars.mit.edu/) [2018]

Reinforcement Learning

1. [Berkeley: CS 294 Deep Reinforcement Learning](http://rll.berkeley.edu/deeprlcourse/?utm_source=qq&utm_medium=social) [Fall 2017][RL]
2. [CMU: 10703 Deep RL and Control](http://www.cs.cmu.edu/~rsalakhu/10703/) [Fall 2018][RL]
3. [Stanford: CS234: Reinforcement Learning](http://web.stanford.edu/class/cs234/index.html?utm_source=wechat_session&utm_medium=social) [Winter 2018][RL]

参考

1. 深度学习名校课程大全: https://zhuanlan.zhihu.com/p/33580103
2. Awesome Deep Learning: https://github.com/xiaohu2015/awesome-deep-learning