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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 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[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]] |
- | 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/) |