這篇部落格主要是把自己瞭解到的一些深度學習理論及應用方面的資料整合起來，方便以後查閱。

Deep learning 概述

1、Understanding Aesthetics with Deep Learning
https://devblogs.nvidia.com/parallelforall/understanding-aesthetics-deep-learning/

入門

1、UFLDL
http://ufldl.stanford.edu/wiki/index.php/UFLDL教程
2、deep learning with theano
http://deeplearning.net/tutorial/contents.html
中文的http://www.cnblogs.com/charleshuang/p/3651843.html
3、史丹佛機器學習
http://open.163.com/special/opencourse/machinelearning.html

Deep learning 各種框架對比

1、英偉達官方推薦的幾個深度學習框架
https://developer.nvidia.com/deep-learning-frameworks?mkt_tok=eyJpIjoiTUdabVlXWmlPRFUwTkdWbSIsInQiOiJzelZwY1dleTVkZWRYemtYZ2JNSExYTHVzMDl3UUlvQ0xpQTZzUVZaXC84Z2NRR2xzZENURmNaTHB2eklJM0V3MWd0UEllSUp4dkg2T1ZXY2R3V3hLUHYzZDdcL0p1SkZqUU9tV2xvRGtBejBBPSJ9
2、部落格總結
http://blog.csdn.net/thesby/article/details/51425133

Sequence learning

1、Deep learning in a nutshell

Deep Learning in a Nutshell: Sequence Learning
https://devblogs.nvidia.com/parallelforall/deep-learning-nutshell-sequence-learning/

Understanding Natural Language with Deep Neural Networks Using Torch
https://devblogs.nvidia.com/parallelforall/understanding-natural-language-deep-neural-networks-using-torch/

Deep Learning in a Nutshell: Core Concepts
https://devblogs.nvidia.com/parallelforall/deep-learning-nutshell-core-concepts/

Deep Speech: Accurate Speech Recognition with GPU-Accelerated Deep Learning
https://devblogs.nvidia.com/parallelforall/deep-speech-accurate-speech-recognition-gpu-accelerated-deep-learning/

2、cuDNN 5對 序列學習的支援
http://geek.csdn.net/news/detail/72705

Relu 的作用

1、Deep Sparse Rectifier Neural Networks
http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2011_GlorotBB11.pdf
2、Rectifier Nonlinearities Improve Neural Network Acoustic Models
http://web.stanford.edu/~awni/papers/relu_hybrid_icml2013_final.pdf
3、https://www.douban.com/note/348196265/
4、https://www.quora.com/What-is-special-about-rectifier-neural-units-used-in-NN-learning