http://blog.csdn.net/zouxy09/article/details/8782018

Deep Learning（深度學習）學習筆記整理系列之（八）

Deep Learning（17） 

機器學習（45） 

linux驅動（3） 

版權聲明：本文為博主原創文章，未經博主允許不得

（5）Ersatz：deep neural networks in the cloud

http://www.ersatz1.com/

（6）Deep Learning

http://www.cs.nyu.edu/~yann/research/deep/

（7）Invited talk "A Tutorial on Deep Learning" by Dr. Kai Yu (余凱)

http://vipl.ict.ac.cn/News/academic-report-tutorial-deep-learning-dr-kai-yu

（8）CNN - Convolutional neural network class

http://www.mathworks.cn/matlabcentral/fileexchange/24291

（9）Yann LeCun's Publications

http://yann.lecun.com/exdb/publis/index.html#lecun-98

（10） LeNet-5, convolutional neural networks

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

（11） Deep Learning 大牛Geoffrey E. Hinton's HomePage

http://www.cs.toronto.edu/~hinton/

（12）Sparse coding simulation software[PRoject]

http://redwood.berkeley.edu/bruno/sparsenet/

（13）Andrew Ng's homepage

http://robotics.stanford.edu/~ang/

（14）stanford deep learning tutorial

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

（15）「深度神經網絡」（deep neural network）具體是怎樣工作的

http://www.zhihu.com/question/19833708?group_id=15019075#1657279

（16）A shallow understanding on deep learning

http://blog.sina.com.cn/s/blog_6ae183910101dw2z.html

（17）Bengio's Learning Deep Architectures for AI

 http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf

（18）andrew ng's talk video:

http://techtalks.tv/talks/machine-learning-and-ai-via-brain-simulations/57862/

（19）cvpr 2012 tutorial：

http://cs.nyu.edu/~fergus/tutorials/deep_learning_cvpr12/tutorial_p2_nnets_ranzato_short.pdf

（20）Andrew ng清華報告聽后感

http://blog.sina.com.cn/s/blog_593af2a70101bqyo.html

（21）Kai Yu：CVPR12 Tutorial on Deep Learning Sparse Coding

（22）Honglak Lee：Deep Learning Methods for Vision

（23）Andrew Ng ：Machine Learning and AI via Brain simulations

（24）Deep Learning 【2,3】

http://blog.sina.com.cn/s/blog_46d0a3930101gs5h.html

（25）deep learning這件小事……

http://blog.sina.com.cn/s/blog_67fcf49e0101etab.html

（26）Yoshua Bengio, U. Montreal：Learning Deep Architectures

（27）Kai Yu：A Tutorial on Deep Learning

（28）Marc'Aurelio Ranzato：NEURAL NETS FOR VISION

（29）Unsupervised feature learning and deep learning

http://blog.csdn.net/abcjennifer/article/details/7804962

（30）機器學習前沿熱點–Deep Learning

http://elevencitys.com/?p=1854

（31）機器學習——深度學習(Deep Learning)

http://blog.csdn.net/abcjennifer/article/details/7826917

（32）卷積神經網絡

http://wenku.baidu.com/view/cd16fb8302d276a200292e22.html

（33）淺談Deep Learning的基本思想和方法

http://blog.csdn.net/xianlingmao/article/details/8478562

（34）深度神經網絡

http://blog.csdn.net/txdb/article/details/6766373

（35）Google的貓臉識別:人工智能的新突破

http://www.36kr.com/p/122132.html

（36）余凱，深度學習-機器學習的新浪潮，Technical News程序天下事

http://blog.csdn.net/datoubo/article/details/8577366

（37）Geoffrey Hinton：UCLTutorial on: Deep Belief Nets

（38）Learning Deep Boltzmann Machines

http://web.mit.edu/~rsalakhu/www/DBM.html

（39）Efficient Sparse Coding Algorithm

http://blog.sina.com.cn/s/blog_62af19190100gux1.html

（40）Itamar Arel, Derek C. Rose, and Thomas P. Karnowski： Deep Machine Learning—A New Frontier in Artificial Intelligence Research

（41）Francis Quintal Lauzon：An introduction to deep learning

（42）Tutorial on Deep Learning and applications

（43）Boltzmann神經網絡模型與學習算法

http://wenku.baidu.com/view/490dcf748e9951e79b892785.html

（44）Deep Learning 和 Knowledge Graph 引爆大數據革命

http://blog.sina.com.cn/s/blog_46d0a3930101fswl.html

（45）……