Deep Learning学习资源 [复制链接]

参考文献和Deep Learning学习资源（持续更新……）
       先是机器学习领域大牛的微博：@余凯_西二旗民工；@老师木；@梁斌penny；@张栋_机器学习；@邓侃；@大数据皮东；@djvu9……
（1）Deep Learning
http://deeplearning.net/
（2）Deep Learning Methods for Vision
http://cs.nyu.edu/~fergus/tutorials/deep_learning_cvpr12/
（3）Neural Network for Recognition of Handwritten Digits[Project]
http://www.codeproject.com/Articles/16650/Neural-Network-for-Recognition-of-Handwritten-Digi
（4）Training a deep autoencoder or a classifier on MNIST digits
http://www.cs.toronto.edu/~hinton/MatlabForSciencePaper.html
（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 (余凯)
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）「深度神经网络」（deep neural network）具体是怎样工作的
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清华报告听后感
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这件小事……
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）机器学习前沿热点–Deep Learning
http://elevencitys.com/?p=1854
（31）机器学习——深度学习(Deep Learning)
http://blog.csdn.net/abcjennifer/article/details/7826917
（32）卷积神经网络
http://wenku.baidu.com/view/cd16fb8302d276a200292e22.html
（33）浅谈Deep Learning的基本思想和方法
http://blog.csdn.net/xianlingmao/article/details/8478562
（34）深度神经网络
http://blog.csdn.net/txdb/article/details/6766373
（35）Google的猫脸识别:人工智能的新突破
http://www.36kr.com/p/122132.html
（36）余凯，深度学习-机器学习的新浪潮，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, andThomas P. Karnowski： Deep Machine Learning—A New Frontier in ArtificialIntelligence Research
（41）Francis Quintal Lauzon：An introduction to deep learning
（42）Tutorial on Deep Learning and Applications
（43）Boltzmann神经网络模型与学习算法
http://wenku.baidu.com/view/490dcf748e9951e79b892785.html
（44）Deep Learning 和 Knowledge Graph 引爆大数据革命
http://blog.sina.com.cn/s/blog_46d0a3930101fswl.html