Introduction for beginner who want to study about machine learning.
A basic guide for starting on Deep learning.
| Name | Interface | Platform | feature |
|---|---|---|---|
| Caffe | C, [C++][C++-website], [Python][Python-website], MATLAB, Command line interface | Ubuntu, OS X, AWS | Convnet |
| TensorFlow | [Python][Python-website], [c++][C++-website] | Ubuntu, OS X, Mobile | |
| Theano | [Python][Python-website] | Ubuntu, OS X, Windows | |
| Torch | C, [C++][C++-website], [Lua][Lua-website] | Ubuntu, OS X, Windows, Android, iOS | |
| ConvNetJS | [JavaScript][Java Script-website] | website |
- Intro
- DeepLearning.TV
- machine learning by google
- Sirajology
- Bay Area Deep Learning School
- Nvidia
- Advance
- c231-2016
- Deep learning at Oxford
- Coursera
- Tensorflow for Poets
- Udacity
- Stanford - cs231: Convolutional Neural Networks for Visual Recognition (Update: Winter 2016)
- github page
- video
- Berkeley - cs294: Deep Reinforcement Learning (Update: String 2017)
- Berkeley - stat212b: Topics Course on Deep Learning for Spring 2016
- Stanford - cs224d: Deep Learning for Natural Language Processing
- video
- Stanfor - cs229:Machine Learning
- MIT - 6.034: Artificial Intelligence (2010&2015)
[C-website] [C++-website]:http://www.cplusplus.com/ [Lua-website]:https://www.lua.org/ [Python-website]:https://www.python.org/ [Java Script-website]:https://www.javascript.com/