deep learning 之學習路線


Where to Learn Deep Learning – Courses, Tutorials, Software   學習列表



中文小專題及實驗  http://www.cnblogs.com/tornadomeet/tag/Deep%20Learning/  

Ng  英文及中文 http://deeplearning.stanford.edu/wiki/index.php/UFLDL%E6%95%99%E7%A8%8B


http://blog.csdn.net/abcjennifer/article/details/7826917  深度學習中文指導
英文原版在這裏: http://www.iro.umontreal.ca/~pift6266/H10/notes/deepintro.html

http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial  

精簡版PPT  Bengio   http://wenku.baidu.com/link?url=F9jBB3fzrQpJEFKXthFBb4Y7I_LFzFM1uWyK1jGzkgDSx9ISj6P19v1k-26m8SoOj_d9weIZcyENxTVd0MqL6uAbP0ZZ-ElUmMo-JAmYXPu


http://blog.csdn.net/abcjennifer/article/details/7804962   中文圖文並茂的筆記

有些大牛視頻:http://videolectures.net/jul09_hinton_deeplearn/    hinto

 Bengio  http://videolectures.net/icml09_bengio_lecun_tldar/

機器學習中使用的神經網絡教學視頻 Hiton

Bengio 的 用python寫的教程

Survey Papers on Deep Learning      已經打印了這兩篇

Yoshua Bengio, Learning Deep Architectures for AI, Foundations and Trends in Machine Learning, 2(1), pp.1-127, 2009.

Yoshua Bengio, Aaron Courville, Pascal Vincent, Representation Learning: A Review and New Perspectives, Arxiv, 2012.

Deep Learning Code Tutorials   Python代碼示例

The Deep Learning Tutorials are a walk-through with code for several important Deep Architectures (in progress; teaching material for Yoshua Bengio’s IFT6266 course).

網址:http://deeplearning.net/tutorial/contents.html   重點學習 已經打印了      深度學習教程的翻譯

源代碼在這裏

http://deeplearning.net/software/theano/index.html 



Ng的用Matlab寫的教程

Unsupervised Feature and Deep Learning   Matlab示例

Stanford’s Unsupervised Feature and Deep Learning tutorials has wiki pages and matlab code examples for several basic concepts and algorithms used for unsupervised feature learning and deep learning.

standford中文翻譯   英文


使用toolbox的中文Matlab實驗  

 純Matlab代碼的中文實驗    對應的英文教程    機器學習中文翻譯教程


standfor Ng 機器學習筆記 http://blog.csdn.net/abcjennifer/article/category/1173803/3       

            Ng 視頻   https://class.coursera.org/ml-005/lecture/preview



下載工具包後,解壓到一個目錄,在MATLAB 2014a中添加路徑時,選擇與子目錄一起添加。包中測試程序在“tests”目錄下。運行測試程序時,可能會出現“ out of memory"錯誤,可參考 http://www.ilovematlab.cn/thread-19609-1-1.html





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