@聪Hit 有没有关于深度学习的。特别是针对初学者的一些文章。

[haoawesome]

http://www.weibo.com/5220650532/Bn4YS4wfC

[haoawesome]

本门过去的相关推荐

https://github.com/memect/hao/issues/190 学深度学习的工具 python 还是Matlab https://github.com/memect/hao/issues/90 深度学习做推荐的文章资料 https://github.com/memect/hao/issues/39 机器学习和深度学习在多媒体信息检索领域的资源 https://github.com/memect/hao/issues/31 深度学习或者机器学习在图像检索 https://github.com/memect/hao/issues/181 deep learning相关的图像检索资料 https://github.com/memect/hao/issues/30 深度学习在文本挖掘或者自然语言处理(NLP)方面的好的资源 https://github.com/memect/hao/issues/168 Michael Jordan 论深度学习

[haoawesome]

入门

http://www.datarobot.com/blog/a-primer-on-deep-learning/ A Primer on Deep Learning （2014）

http://deeplearning.net/tutorial/gettingstarted.html Getting Started (通过python编程学习基本概念)

中文看 邓侃 Deep Learning 系列

• http://blog.sina.com.cn/s/blog_46d0a3930101fswl.html Deep Learning 和 Knowledge Graph 引爆大数据革命
• http://blog.sina.com.cn/s/blog_46d0a3930101gs5h.html Deep Learning 【2,3】
• http://blog.sina.com.cn/s/blog_46d0a3930101h6nf.html Deep Learning 教程翻译

深度学习综述

http://deeplearning.net/tutorial/ Deep Learning Tutorials

• Deep Learning Tutorials 600+ star on github https://github.com/lisa-lab/DeepLearningTutorials

http://research.microsoft.com/pubs/204048/APSIPA-Trans2013-revised-final.pdf Li Deng, A Tutorial Survey of Architectures, Algorithms, and Applications for Deep Learning , in APSIPA Transactions on Signal and Information Processing, Cambridge University Press, 2014

• 还有一个大部头 http://research.microsoft.com/pubs/209355/DeepLearning-NowPublishing-Vol7-SIG-039.pdf Deep Learning Methods and Applications， Li Deng and Dong Yu

深度学习分领域教程

http://nlp.stanford.edu/courses/NAACL2013/ Deep Learning for Natural Language Processing (without Magic)

• NLP 方向

http://research.microsoft.com/pubs/217165/ICASSP_DeepTextLearning_v07.pdf Deep learning for natural language processing and related applications (Tutorial at ICASSP)

• Xiaodong He, Jianfeng Gao, and Li Deng
• spoken language understanding (SLU), machine translation (MT), and semantic information retrieval (IR) from text.

https://sites.google.com/site/deeplearningcvpr2014/ TUTORIAL ON DEEP LEARNING FOR VISION

• Computer vision, CVPR 2014 Tutorial
• cardbox http://bigdata.memect.com/?tag=cvpr2014+vision

[tankle]

非常感谢。

[haoawesome]

https://www.facebook.com/yann.lecun/posts/10152077631217143?comment_id=10152089275552143&offset=0&total_comments=6

Yann LeCun June 16 ·

MIT posted videos of two lectures and a talk I gave there last year, as well as a panel discussion on invariant feature learning.

Lecture on Computer Perception with Deep Learning in Course 9.S912: "Vision and learning - computers and brains", Nov 12, 2013:

• Part1: http://techtv.mit.edu/videos/26739-yann-lecun-computer-perception-with-deep-learning-part-1
• Part2: http://techtv.mit.edu/videos/26740-yann-lecun-computer-perception-with-deep-learning-part-2

Workshop on Learning Data Representation: Hierarchies and Invariance:

• Talk: "Learning Invariant Feature Hierarchies": http://techtv.mit.edu/videos/27095-yann-lecun-learning-invariant-feature-hierarchies
• Panel discussion: http://techtv.mit.edu/videos/27336-panel-discussion-learning-invariances-and-hierarchies

[haoawesome]

问:@聪Hit 有没有关于深度学习的。特别是针对初学者的一些文章。 答: 深度学习综述不乏大部头,如微软邓力等写的“Deep Learning Methods and Applications”。推些短文："A Primer on Deep Learning" 科普入门, 基于python theano范例学习, 邓侃Deep Learning系列 资料 http://memect.co/HOufPrN 欢迎指正

[haoawesome]

https://github.com/memect/hao/blob/master/awesome/deep-learning-introduction.md

http://memect.co/HOufPrN

[haoawesome]

@自觉自愿来看老婆微博 感觉还是要区分一下方向。CV、NLP、speech都用DL，却有相当大的不同。比如CV的，上面这些资料有点绕弯路。

[haoawesome]

@自觉自愿来看老婆微博 没看到有人转这篇＜Deep Learning Comes of Age＞ ，值得一看。 http://t.cn/zH5EdjT @叶浩

2013-6-15 11:51 http://www.weibo.com/1767700837/zBwgyyXEQ?mod=weibotime

[haoawesome]

星空下的巫师 微博达人："A wave of excitement today comes from the application of unsupervised learning to deep neural nets." Deep Learning Comes of Age | June 2013 | Communications of the ACM http://t.cn/zH5EdjT http://weibo.com/1785748853/zz47bmU5h

[haoawesome]

@自觉自愿来看老婆微博 补充两个NN的材料，http://t.cn/8k2QkMw ， http://t.cn/RhSJkOz ，第一个概念讲的很细致，第二个独特视角讲NN。

http://www.weibo.com/5220650532/Bnnfrjm3x

[haoawesome]

特别推荐一本免费电子书， 微软研究院邓力和俞栋合写的“Deep Learning Methods and Applications” http://memect.co/C5l39Qq 近200页的篇幅对深度学习的方法和应用做了比较全面的综述。顺路再推一下@高杰_Speech 推荐的 微软研究院出品 C++开源工具包 https://cntk.codeplex.com/

http://www.weibo.com/5220650532/BnxSMyLB3