How to learn DL

How should I get started with deep learning? Can someone guide me to Mathematics resources specifically for Deep Learning?

1. https://www.quora.com/Whats-the-most-effective-way-to-get-started-with-Deep-Learning
2. http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial
3. http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf
4. earning（深度学习）学习笔记整理系列

caffe install

VS2013配置Caffe卷积神经网络工具（64位Windows 7）——建立工程
Caffe + vs2013 + OpenCV in Windows Tutorial (I) – Setup
Caffe 深度学习框架上手教程

DBN summary

Deep Belief Networks construct beliefs (probablilistical relationships between instances) based on unsupervised data, and then apply those relationships to a problem when presented with supervised data. Basically, learn on unsupervised, where there is more data to learn from, then use on a problem.

深度学习库列表

dl by language
http://www.teglor.com/b/deep-learning-libraries-language-cm569

DL四大“金刚”合照：从左至右依次为Yann Lecun, Geoffrey Hinton, Yoshua Bengio, Andrew Ng.

Xiu-Shen Wei（ @南京大学）关于DL的一些内容整理。
http://lamda.nju.edu.cn/weixs/project/CNNTricks/CNNTricks.html
几个常用的DL库

1. [MatConvNet](http://www.vlfeat.org/matconvnet/)
2. Caffe | Deep Learning Framework
3. Torch | Scientific computing for LuaJIT.