深度学习的方法、书籍、资料、网站

网站：

Neural Networks for Machine Learning的学习网站：

http://deeplearning.net/tutorial/

斯坦福最近在开一门课介绍卷积神经网络（一种常用的深度学习模型），作业也是基于python的，题主感兴趣可以关注一下。

http://vision.stanford.edu/teaching/cs231n/

1. DL非常好的科普文章，可快速浅显了解Deep Learning：http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html
2. 深度学习大牛Bengio（下图右2）最近出版的一本书：Deep Learning，Deep Learning (Bengio 2015-10-03).pdf_免费高速下载
3. DL在视觉中打响的第一枪：NIPS‘12 paper：http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf
4. Andrew Ng（右1）的tutorial: UFLDL Tutorial
5. 最后是LI Fei-Fei的Stanford University CS231n: Convolutional Neural Networks for Visual Recognition

相关资料：

1. Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville
2. Neural Networks and Deep Learning by Michael Nielsen
3. Deep Learning by Microsoft Research
4. Deep Learning Tutorial by LISA lab, University of Montreal Courses
5.  DeepLearning 0.1 documentation
   

1. Machine Learning by Andrew Ng in Coursera
2. Neural Networks for Machine Learning by Geoffrey Hinton in Coursera
3. Neural networks class by Hugo Larochelle from Université de Sherbrooke
4. Deep Learning Course by CILVR lab @ NYU
5. CS231n: Convolutional Neural Networks for Visual Recognition On-Going
6. CS224d: Deep Learning for Natural Language Processing Going to start Video and Lectures

1. How To Create A Mind By Ray Kurzweil - Is a inspiring talk
2. Deep Learning, Self-Taught Learning and Unsupervised Feature Learning By Andrew Ng
3. Recent Developments in Deep Learning By Geoff Hinton
4. The Unreasonable Effectiveness of Deep Learning by Yann LeCun
5. Deep Learning of Representations by Yoshua bengio
6. Principles of Hierarchical Temporal Memory by Jeff Hawkins
7. Machine Learning Discussion Group - Deep Learning w/ Stanford AI Lab by Adam Coates
8. Making Sense of the World with Deep Learning By Adam Coates
9. Demystifying Unsupervised Feature LearningBy Adam Coates
10. Visual Perception with Deep Learning By Yann LeCun Papers

1. ImageNet Classification with Deep Convolutional Neural Networks
2. Using Very Deep Autoencoders for Content Based Image Retrieval
3. Learning Deep Architectures for AI
4. CMU’s list of papers

Tutorials

1. UFLDL Tutorial 1
2. UFLDL Tutorial 2
3. Deep Learning for NLP (without Magic)
4. A Deep Learning Tutorial: From Perceptrons to Deep Networks

WebSites

1. deeplearning.net
2. deeplearning.stanford.edu

Datasets

1. MNIST Handwritten digits
2. Google House Numbers from street view
3. CIFAR-10 and CIFAR-100
4. IMAGENET
5. Tiny Images 80 Million tiny images
6. Flickr Data 100 Million Yahoo dataset
7. Berkeley Segmentation Dataset 500

Frameworks

1. Caffe
2. Torch7
3. Theano
4. cuda-convnet
5. Ccv
6. NuPIC
7. DeepLearning4J

Miscellaneous

1. Google Plus - Deep Learning Community
2. Caffe Webinar
3. 100 Best Github Resources in Github for DL
4. Word2Vec
5. Caffe DockerFile
6. TorontoDeepLEarning convnet
7. Vision data sets
8. Fantastic Torch Tutorial My personal favourite. Also check outgfx.js
9. Torch7 Cheat sheet

【框架】：
深度学习十大顶级框架：
http://nautidea.com/nautidea/articles/568de8129eb5f0157e6778a4?viewType=share
不同语言的深度学习库：
http://nautidea.com/nautidea/articles/5694f4649eb5f06447e7a44e?viewType=share
基于spark的异构分布式平台：
http://nautidea.com/nautidea/articles/56dc65979eb5f00b9e46050c?viewType=share
深度学习框架比较：
http://nautidea.com/nautidea/articles/56aa4c529eb5f00fbc783f9d?viewType=share

【算法】：
广义递归线性模型：
http://nautidea.com/nautidea/articles/56079a8d9eb5f0065378494f?viewType=share
自由编码器和自由能：
http://nautidea.com/nautidea/articles/56079a8d9eb5f00653784951?viewType=share
可微分编程：
http://nautidea.com/nautidea/articles/5694f4209eb5f06447e7a382?viewType=share
记忆和核方法
http://nautidea.com/nautidea/articles/56079a189eb5f006537848b5?viewType=share
CNN反向求导：
http://nautidea.com/nautidea/articles/5694f63e9eb5f06447e7a86e?viewType=share
深度信任网络:
http://nautidea.com/nautidea/articles/5694f6789eb5f06447e7a8ee?viewType=share

【书单】：
机器学习+深度学习书单：
http://nautidea.com/nautidea/articles/560796c79eb5f003298ed963?viewType=share
前沿深度学习论文+书单+著名IT公司资料：
http://nautidea.com/nautidea/articles/569a79b89eb5f0491c6e7696?viewType=share

【案例】：
京东DNN Lab深度学习实验室：
http://nautidea.com/nautidea/articles/560797c79eb5f003ff1a4958?viewType=share
多伦多大学用GPU+深度学习识别癌症
http://nautidea.com/nautidea/articles/568e00159eb5f0157e6778a5?viewType=share
阿里巴巴深度学习与NLP实例：
http://nautidea.com/nautidea/articles/568e07cf9eb5f0157e6778a6?viewType=share
腾讯深度学习实验室:
http://nautidea.com/nautidea/articles/5694f64b9eb5f06447e7a893?viewType=share

【硬件】
深度学习硬件指南：
http://nautidea.com/nautidea/articles/56c207909eb5f056905ac7fc?viewType=share

51CTO学院上新出的一个不错的深度学习视频课程 深度学习全民皆兵