查看完整版本: [-- Deep Learning学习资源 --]

Ft2 team -> 编程 -> Deep Learning学习资源 [打印本页] 登录 -> 注册 -> 回复主题 -> 发表主题

Francis 2016-03-11 14:41

Deep Learning学习资源

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


查看完整版本: [-- Deep Learning学习资源 --] [-- top --]


Powered by phpwind v8.7.1 Code ©2003-2011 phpwind
Time 0.055778 second(s),query:4 Gzip enabled