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机器学习-deep learning reading 网上链接 Deep learning Reading List
Following is a growing list of some of the materials i found on the web for Deep Learning beginners.
Free Online Books
Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville
Neural Networks and Deep Learning by Michael Nielsen
Deep Learning by Microsoft Research
Deep Learning Tutorial by LISA lab, University of Montreal
Courses
Machine Learning by Andrew Ng in Coursera
Neural Networks for Machine Learning by Geoffrey Hinton in Coursera
Neural networks class by Hugo Larochelle from Université de Sherbrooke
Deep Learning Course by CILVR lab @ NYU
CS231n: Convolutional Neural Networks for Visual Recognition On-Going
CS224d: Deep Learning for Natural Language Processing Going to start
Video and Lectures
How To Create A Mind By Ray Kurzweil - Is a inspiring talk
Deep Learning, Self-Taught Learning and Unsupervised Feature Learning By Andrew Ng
Recent Developments in Deep Learning By Geoff Hinton
The Unreasonable Effectiveness of Deep Learning by Yann LeCun
Deep Learning of Representations by Yoshua bengio
Principles of Hierarchical Temporal Memory by Jeff Hawkins
Machine Learning Discussion Group - Deep Learning w/ Stanford AI Lab by Adam Coates
Making Sense of the World with Deep Learning By Adam Coates
Demystifying Unsupervised Feature Learning By Adam Coates
Visual Perception with Deep Learning By Yann LeCun
Papers
ImageNet Classification with Deep Convolutional Neural Networks
Using Very Deep Autoencoders for Content Based Image Retrieval
Tutorials
WebSites
Datasets
MNIST Handwritten digits
Google House Numbers from street view
Tiny Images 80 Million tiny images
Flickr Data 100 Million Yahoo dataset
Frameworks
Miscellaneous
Fantastic Torch Tutorial My personal favourite. Also check out gfx.js
原文链接:http://jmozah.github.io/links/#rd
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