/awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

Free Online Books

  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

  1. Machine Learning - Stanford by Andrew Ng in Coursera
  2. Machine Learning - Caltech by Yaser Abu-Mostafa
  3. Machine Learning - Carnegie Mellon by Tom Mitchell
  4. Neural Networks for Machine Learning by Geoffrey Hinton in Coursera
  5. Neural networks class by Hugo Larochelle from Université de Sherbrooke
  6. Deep Learning Course by CILVR lab @ NYU

Video and Lectures

  1. How To Create A Mind By Ray Kurzweil - Is a inspiring talk2. Deep Learning, Self-Taught Learning and Unsupervised Feature Learning By Andrew Ng
  2. Recent Developments in Deep Learning By Geoff Hinton
  3. The Unreasonable Effectiveness of Deep Learning by Yann LeCun
  4. Deep Learning of Representations by Yoshua bengio
  5. Principles of Hierarchical Temporal Memory by Jeff Hawkins
  6. Machine Learning Discussion Group - Deep Learning w/ Stanford AI Lab by Adam Coates
  7. Making Sense of the World with Deep Learning By Adam Coates
  8. Demystifying Unsupervised Feature Learning By Adam Coates
  9. Visual Perception with Deep Learning By Yann LeCun
  10. The Next Generation of Neural Networks By Geoffrey Hinton on GoogleTechTalks

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-1004. IMAGENET
  4. Tiny Images 80 Million tiny images6. Flickr Data 100 Million Yahoo dataset
  5. 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
  9. gfx.js
  10. Torch7 Cheat sheet

Contributing

Have anything in mind that you think is awesome and would fit in this list? Feel free to send a pull request.