Deep learning 资料汇总--持续更新

这篇博客主要是把自己了解到的一些深度学习理论及应用方面的资料整合起来，方便以后查阅。

Deep learning 概述

1、Understanding Aesthetics with Deep Learning

https://devblogs.nvidia.com/parallelforall/understanding-aesthetics-deep-learning/

入门

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、斯坦福机器学习

http://open.163.com/special/opencourse/machinelearning.html

Deep learning 各种框架对比

1、英伟达官方推荐的几个深度学习框架

https://developer.nvidia.com/deep-learning-frameworks?mkt_tok=eyJpIjoiTUdabVlXWmlPRFUwTkdWbSIsInQiOiJzelZwY1dleTVkZWRYemtYZ2JNSExYTHVzMDl3UUlvQ0xpQTZzUVZaXC84Z2NRR2xzZENURmNaTHB2eklJM0V3MWd0UEllSUp4dkg2T1ZXY2R3V3hLUHYzZDdcL0p1SkZqUU9tV2xvRGtBejBBPSJ9

2、博客总结

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对 序列学习的支持

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