Deep learning resouces


  1. Deep Learning and Neural Networks with Kevin Duh: course page
  2. NY Course by Yann LeCun: 2014 version, 2015 version
  3. ICML 2013 Deep Learning Tutorial by Yann Lecun (slides)
  4. Geoffery Hinton’s cousera course on Neural Networks for Machine Learning
  5. Large Scale Visual Recognition Challenge 2014, arxiv paper
  6. GTC Deep Learning 2015
  7. Hugo Larochelle Neural Networks [class[(, slides
  8. My youtube playlist
  9. Yaser Abu-Mostafa’s Learning from Data course (youtube playlist)
  10. Stanford CS224d: Deep Learning for Natural Language Processing: syllabus, youtube playlist, reddit
  11. Neural Networks for Machine Perception: vimeo
  12. Deep Learning for NLP (without magic): page, better page, video1, video2, youtube playlist
  13. Introduction to Deep Learning with Python: video, slides, code
  14. Machine Learning course with emphasis on Deep Learning by Nando de Freitas (youtube playlist), course page, torch practicals
  15. NIPS 2013 Deep Learning for Computer Vision Tutorial – Rob Fergus: video, slides
  2. NVidia’s Deep Learning portal


  1. Learning Deep Architectures for AI, Bengio (pdf)
  2. Neural Nets and Deep Learning (html, github)
  3. Deep Learning, Bengio, Goodfellow, Courville (html)
  4. Neural Nets and Learning Machines, Haykin, 2008 (amazon)


  1. ImageNet Classification with Deep Convolutional Neural Networks, Alex Krizhevsky, Ilya Sutskever, Geoffrey E Hinton, NIPS 2012 (paper)
  2. Why does unsupervised pre-training help deep learning? (paper)
  3. Hinton06 – Autoencoders (paper)
  4. Deep Learning using Linear Support Vector machines (paper)

Source contains additional materials.