-
-
2June 10, 2014 A tutorial on statistical-learning for scientific data processing R useful functions Numeric matrix manipulation: Cheat sheet
-
0GPU的选择： timdettmers的wordpress的com/2014/08/14/which-gpu-for-deep-learning/ Navida GPU programming guid： docs点nvidia的com/cuda/pdf/CUD
-
052nlp.cn/python-%E7%BD%91%E9%A1%B5%E7%88%AC%E8%99%AB-%E6%96%87%E6%9C%AC%E5%A4%84%E7%90%86-%E7%A7%91%E5%AD%A6%E8%AE%A1%E7%AE%97-%E6%9C%BA%E5%
-
0archive.ics.uci.edu/ml/datasets/YouTube+Multiview+Video+Games+Dataset#
-
0http://www.ipam.ucla.edu/programs/summer-schools/graduate-summer
-
0scikit-learn.org/stable/documentation.html
-
0http://t.cn/8kltYYT
-
12014年8月18日 23:21 我们常常需要寻找一些电子书PDF文件，特别是一些国外的英文版电子书，因为很难在国内买得到，所以一些好的网站是非常值得收藏的
-
2亲爱的各位吧友：欢迎来到laj个人资料
-
0m.sciencemag.org/site/feature/data/compsci/machine_learning.xhtml
-
0http://web.stanford.edu/group/pdplab/pdphandbook/
-
0【研究动态】卷积神经网络（CONVOLUTIONAL NEURAL NETWORK）总结 欢迎各位访问。相关网站： CNNs应用的最成功的一个例子：Yann LeCun（曾经是Hinton组
-
0Vedio: mlss2014.com/materials.html
-
0http://bigdata.memect.com/?tag=deeplearning
-
0highlycited.com/
-
2AI on the Web
-
0Advice for students of machine learning written by david mimno One of my students recently asked me for advice on learning ML. Here’s what
-
0学术指引地图 http://www.metacademy.org/
-
0美国大脑计划书：http://www.nih.gov/science/brain/2025/BRAIN2025.pdf 欧洲大脑计划2013报告：http://ec.europa.eu/research/participants/portal/d
-
1http://deeplearning.net/reading-list/
-
0https://dancres.github.io/Pages/
-
0中文资料： 1.Deep Learning in NLP （一）词向量和语言模型 http://licstar.net/archives/328 2.Deep Learning实战之word2vec http://techblog.youda
-
0统计学有趣数据集豪华大全(100+ Interesting Data Sets for Statistics) http://rs.io/2014/05/29/list-of-data-sets.html
-
0Title:Spark LIBLINEAR: A Practical Guide for Running a Spark LIBLINEAR Example http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/distributed-lib
-
0http://mooc.nthu.edu.tw/sharecourse/course/content/homepage/9
-
0http://hubel.med.harvard.edu/index.html
-
0http://jmlr.org/papers/
-
0http://blog.csdn.net/abcjennifer/article/details/25908495
-
0http://blog.csdn.net/abcjennifer/article/details/27346787
-
0http://hadoopecosystemtable.github.io/
-
0https://code.csdn.net/JustJavaC/free-programming-books-zh_cn#not
-
1http://cs.nyu.edu/~zaremba/docs/understanding.pdf 其中一个重要的结论就是DL两次抽取同一张图片的特征图不一样。导致对同一图中的物体判断不同。
-
8The Dirichlet Process the Chinese Restaurant Process and other representations
