📚 "Read enough so you start developing intuitions and then trust your intuitions and go for it!" 📚
Prof. Geoffrey Hinton, University of Toronto
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| Deep Learning (Deep Neural Networks) ⤵️ | Probabilistic Graphical Models ⤵️ |
| Machine Learning Fundamentals ⤵️ | Natural Language Processing ⤵️ |
| Optimization for Machine Learning ⤵️ | Automatic Speech Recognition ⤵️ |
| General Machine Learning ⤵️ | Modern Computer Vision ⤵️ |
| Reinforcement Learning ⤵️ | Boot Camps or Summer Schools ⤵️ |
| Bayesian Deep Learning ⤵️ | Medical Imaging ⤵️ |
| Graph Neural Networks ⤵️ | Bird's-eye view of Artificial Intelligence ⤵️ |
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| S.No | Course Name | University/Instructor(s) | Course WebPage | Lecture Videos | Year |
|---|---|---|---|---|---|
| 1. | Neural Networks for Machine Learning | Geoffrey Hinton, University of Toronto | Lecture-Slides CSC321-tijmen |
YouTube-Lectures UofT-mirror |
2012 2014 |
| 2. | Neural Networks Demystified | Stephen Welch, Welch Labs | Suppl. Code | YouTube-Lectures | 2014 |
| 3. | Deep Learning at Oxford | Nando de Freitas, Oxford University | Oxford-ML | YouTube-Lectures | 2015 |
| 4. | Deep Learning for Perception | Dhruv Batra, Virginia Tech | ECE-6504 | YouTube-Lectures | 2015 |
| 5. | Deep Learning | Ali Ghodsi, University of Waterloo | STAT-946 | YouTube-Lectures | F2015 |
| 6. | CS231n: CNNs for Visual Recognition | Andrej Karpathy, Stanford University | CS231n | None |
2015 |
| 7. | CS224d: Deep Learning for NLP | Richard Socher, Stanford University | CS224d | YouTube-Lectures | 2015 |
| 8. | Bay Area Deep Learning | Many legends, Stanford | None |
YouTube-Lectures | 2016 |
| 9. | CS231n: CNNs for Visual Recognition | Andrej Karpathy, Stanford University | CS231n | YouTube-Lectures (Academic Torrent) |
2016 |
| 10. | Neural Networks | Hugo Larochelle, Université de Sherbrooke | Neural-Networks |