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vanabel
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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:​ 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 
  
-1. 翻译并实践[A Deep Learning TutorialFrom Perceptrons to Algorithms](https://​link.zhihu.com/?​target=http%3A//​www.toptal.com/​machine-learning/​an-introduction-to-deep-learning-from-perceptrons-to-deep-networks) +====== 网络资料入门 ====== 
-2. 学习[Andrew Ng写的DL原理](http://​ufldl.stanford.edu/​tutorial/​) +  - [[start:​深度学习教程---从感知到深度网络]], ​翻译[[http://​www.toptal.com/​machine-learning/​an-introduction-to-deep-learning-from-perceptrons-to-deep-networks|A Deep Learning Tutorial: From Perceptrons to Algorithms]] 
-4. [权威教材](http://​www.deeplearningbook.org/​)+  ​- ​[[start:Andrew Ng写的DL原理]], 总结至[[http://​ufldl.stanford.edu/​tutorial/​|Deep Learning Tutorial]] 
 +  ​- ​[[start:权威教材]], 网络共享本[[http://​www.deeplearningbook.org/​|Deep Learning]]
  
-####一些论文+====== ​一些论文 ​======
  
-1. 导论[The Learning Machines](https://​link.zhihu.com/?​target=http%3A//​www.nature.com/​news/​computer-science-the-learning-machines-1.14481)+ 
 +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) 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) 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](https://link.zhihu.com/?​target=http%3A//​arxiv.org/​pdf/​1404.7828.pdf)+4. 最近进展[Deep Learning in Neural Networks](http:////​arxiv.org/​pdf/​1404.7828.pdf)
  
-####网络课程+======网络课程======
  
 1. 神经网络[Neural Networks for Machine Learning -- Geoffrey Hinton](https://​www.coursera.org/​course/​neuralnets) 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/​) 2. [Oxford Deep Learning -- Nando de Freitas](http://​www.computervisiontalks.com/​tag/​deep-learning-course/​)
  
-####库与语言+======库与语言======
  
 1. [H2O](http://​www.h2o.ai/​verticals/​algos/​deep-learning/​) 1. [H2O](http://​www.h2o.ai/​verticals/​algos/​deep-learning/​)
 2. [scala](https://​twitter.github.io/​scala_school/​zh_cn/​) 2. [scala](https://​twitter.github.io/​scala_school/​zh_cn/​)
 3. [Octave](http://​octave-online.net/​) 3. [Octave](http://​octave-online.net/​)