Deep Learning Materials

Amazon scientist Li Mu agreed with Andrew this time , hoping to help friends quickly master deep learning.

This technological innovation may continue to radiate to the technology circle for several years, and I hope that friends can participate in this upsurge faster and better.

This is undoubtedly a huge benefit for us in the study!

Free course address: http://zh.gluon.ai/index.html

Hung-yi Lee

Laboratory
Speech Processing and Machine Learning Laboratory 
(at 博理館 R508) 

http://speech.ee.ntu.edu.tw/~tlkagk/index.html

A foreign deep learning website

https://www.analyticsvidhya.com/blog/category/deep-learning/

A foreign probability and statistics learning website has video exercises

https://www.khanacademy.org/math/statistics-probability

Yann LeCun, Director of AI Research, Facebook

http://yann.lecun.com/

http://yann.lecun.com/exdb/lenet/index.html

tensorflow.visualization

http://playground.tensorflow.org/

Youku in studyai video

http://i.youku.com/studyai

http://i.youku.com/i/UNTI4MDgxMDQ4MA==/videos?spm=a2hzp.8244740.0.0

NetEase Stanford Machine Learning

http://open.163.com/special/opencourse/machinelearning.html

 An artificial intelligence game visualization website

http://www.emergentmind.com/