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Reading Tracks 150809-150815

Reading Tracks 2015-8-10

http://karpathy.github.io/2015/05/21/rnn-effectiveness/

http://karpathy.github.io/neuralnets/

Reading Tracks 2015-8-11

http://www.iro.umontreal.ca/~bengioy/talks/gss2012-YB6-NLP-recursive.pdf

https://en.wikipedia.org/wiki/Recursive_neural_network

https://en.wikipedia.org/wiki/Recurrent_neural_network

http://arxiv.org/pdf/1504.05070v2.pdf

http://code.madbits.com/wiki/doku.php

https://github.com/karpathy/convnetjs

http://www.datascienceweekly.org/data-scientist-interviews/training-deep-learning-models-browser-andrej-karpathy-interview

http://www.datascienceweekly.org/

Reading Tracks 2015-8-12

http://www.quora.com/What-is-the-impact-of-different-pooling-methods-in-convolutional-neural-networks

http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=1641019&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D1641019

http://yann.lecun.com/exdb/publis/pdf/boureau-icml-10.pdf

http://ai.stanford.edu/~ang/papers/icml11-RandomWeights.pdf

https://en.wikipedia.org/wiki/Asymptotic_expansion

Online Course for Complexity: http://www.complexityexplorer.org/online-courses/courses

夜里跑出来斑驳图灵 http://songshuhui.net/archives/65268

生命的另一个奥秘──浅谈生物数学与斑图生成 http://www.global-sci.org/mc/issues/2/no3/freepdf/46s.pdf

关于spatial pyramid matching for recognizing natural scene categories的总结 http://blog.163.com/pz124578@126/blog/static/2352269420128735912834/

Reading Tracks 2015-8-13

数学突破奖解析:告诉你真实的数学研究 http://songshuhui.net/archives/89715

Recurrent vs Recursive Neural Networks: Which applies better for NLP? http://stats.stackexchange.com/questions/153599/recurrent-vs-recursive-neural-networks-which-applies-better-for-nlp

Recursive Neural Networks http://www.iro.umontreal.ca/~bengioy/talks/gss2012-YB6-NLP-recursive.pdf

Deep Recursive Neural Networks for Compositionality in Language http://www.cs.cornell.edu/~oirsoy/files/nips14drsv.pdf

Parsing Natural Scenes and Natural Language with Recursive Neural Networks http://nlp.stanford.edu/pubs/SocherLinNgManning_ICML2011.pdf

Self-Adaptive Hierarchical Sentence Model http://arxiv.org/pdf/1504.05070v2.pdf

不激活office2010也能免费使用180天 http://wenku.baidu.com/view/90c8b5ef0975f46527d3e164.html?re=view

Self-Adaptive Hierarchical Sentence Model http://arxiv.org/pdf/1504.05070v2.pdf

Notes on Convolutional Neural Networks http://cogprints.org/5869/1/cnn_tutorial.pdf

Gradient-Based Learning Applied to Document Recognition http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf

Reading Sheets 2015-8-14

[孤独专题]有限单群:一段百年征程 http://songshuhui.net/archives/57697

Conceptual Mathematics: A First Introduction to Categories http://fef.ogu.edu.tr/matbil/eilgaz/kategori.pdf

张量 (tensor) 是什么? http://www.zhihu.com/question/20695804

An Introduction to Tensors for Students of Physics and Engineering https://www.grc.nasa.gov/www/k-12/Numbers/Math/documents/Tensors_TM2002211716.pdf

Long Short-Term Memory in Recurrent Neural Networks http://www.felixgers.de/papers/phd.pdf

xybu/onedrive-d-old https://github.com/xybu/onedrive-d-old

Reading Sheets 2015-8-15

BLEU From Wikipedia, the free encyclopedia https://en.wikipedia.org/wiki/BLEU

On the Properties of Neural Machine Translation: Encoder–Decoder Approaches http://arxiv.org/pdf/1409.1259v2.pdf

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation http://arxiv.org/pdf/1406.1078v3.pdf

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank http://nlp.stanford.edu/~socherr/EMNLP2013_RNTN.pdf

A Convolutional Neural Network for Modelling Sentences http://arxiv.org/pdf/1404.2188v1.pdf

ADADELTA: AN ADAPTIVE LEARNING RATE METHOD http://arxiv.org/pdf/1212.5701v1.pdf

Universal approximation theorem From Wikipedia, the free encyclopedia https://en.wikipedia.org/wiki/Universal_approximation_theorem

Recurrent Neural Networks Neural Computation : Lecture 12 http://www.cs.bham.ac.uk/~jxb/INC/l12.pdf

A Deep Dive into Recurrent Neural Nets http://nikhilbuduma.com/2015/01/11/a-deep-dive-into-recurrent-neural-networks/

Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/preprint.pdf

  • A. Graves. Supervised Sequence Labelling with Recurrent Neural Networks. Textbook, Studies in Computational Intelligence, Springer, 2012.
  • A Textbook

【独家】神经网络的信徒们 http://chuansong.me/n/1266595

SPECIAL ARTICLE MATHEMATICS IN THE 20TH CENTURY http://www.math.tamu.edu/~rojas/atiyah20thcentury.pdf

吴军:大数据不是让机器更聪明,而是接近智能 http://www.mtedu.com/article/hulianwangdaniu-389.html

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