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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:​
  
-1. 翻译并实践[A Deep Learning Tutorial: From 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[Unsupervised Feature Learning and Deep Learning ​Tutorial](https://link.zhihu.com/?target=http%3A//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]
 +  - [[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 ====== 
 + 
 + 
 +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====== 
 + 
 +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====== 
 + 
 +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/)