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start [2016/03/26 09:46]
vanabel
start [2019/06/27 22:37]
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-该Wiki作为个人学习深度学习方面理论的笔记. 它主要参考以下学习过程:​ 
  
-====== 网络资料入门 ====== 
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-1. [[doku>​翻译并实践]][A Deep Learning Tutorial: From Perceptrons to Algorithms](http://​www.toptal.com/​machine-learning/​an-introduction-to-deep-learning-from-perceptrons-to-deep-networks) 
-2. 学习[Andrew Ng写的DL原理](http://​ufldl.stanford.edu/​tutorial/​) 
-4. [权威教材](http://​www.deeplearningbook.org/​) 
- 
-====== 一些论文 ====== 
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-1. 导论[The Learning Machines](http://​www.nature.com/​news/​computer-science-the-learning-machines-1.14481) 
-2. [三大神 Yann LeCun, Yoshua Bengio, and Geoffrey Hinton的文章](http://​www.nature.com/​articles/​nature14539.epdf?​referrer_access_token=K4awZz78b5Yn2_AoPV_4Y9RgN0jAjWel9jnR3ZoTv0PU8PImtLRceRBJ32CtadUBVOwHuxbf2QgphMCsA6eTOw64kccq9ihWSKdxZpGPn2fn3B_8bxaYh0svGFqgRLgaiyW6CBFAb3Fpm6GbL8a_TtQQDWKuhD1XKh_wxLReRpGbR_NdccoaiKP5xvzbV-x7b_7Y64ZSpqG6kmfwS6Q1rw%3D%3D&​tracking_referrer=www.nature.com) 
-3. [Growing Pains in Deep Learning](http://​cacm.acm.org/​news/​188737-growing-pains-for-deep-learning/​fulltext) 
-4. 最近进展[Deep Learning in Neural Networks](http:////​arxiv.org/​pdf/​1404.7828.pdf) 
- 
-======网络课程====== 
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-1. 神经网络[Neural Networks for Machine Learning -- Geoffrey Hinton](https://​www.coursera.org/​course/​neuralnets) 
-2. [Oxford Deep Learning -- Nando de Freitas](http://​www.computervisiontalks.com/​tag/​deep-learning-course/​) 
- 
-======库与语言====== 
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-1. [H2O](http://​www.h2o.ai/​verticals/​algos/​deep-learning/​) 
-2. [scala](https://​twitter.github.io/​scala_school/​zh_cn/​) 
-3. [Octave](http://​octave-online.net/​)