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 ======
  - [[start:深度学习教程---从感知到深度网络]], 翻译至[[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/)