:balloon: :tada: Deep Learning Drizzle :confetti_ball: :balloon:

:books: "Read enough so you start developing intuitions and then trust your intuitions and go for it!" :books: ​
Prof. Geoffrey Hinton, University of Toronto

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Contents

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| | | | ------------------------------------------------------------ | ------------------------------------------------------------ | | Deep Learning (Deep Neural Networks) :arrow_heading_down: | Probabilistic Graphical Models :arrow_heading_down: | | | | | Machine Learning Fundamentals :arrow_heading_down: | Natural Language Processing :arrow_heading_down: | | | | | Optimization for Machine Learning :arrow_heading_down: | Automatic Speech Recognition :arrow_heading_down: | | | | | General Machine Learning :arrow_heading_down: | Modern Computer Vision :arrow_heading_down: | | | | | Reinforcement Learning :arrow_heading_down: | Boot Camps or Summer Schools :arrow_heading_down: | | | | | Bayesian Deep Learning :arrow_heading_down: | Medical Imaging :arrow_heading_down: | | | | | Graph Neural Networks :arrow_heading_down: | Bird's-eye view of Artificial Intelligence :arrow_heading_down: | | | |

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:tada: Deep Learning (Deep Neural Networks) :confetti_ball: :balloon:

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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 | YouTube-Lectures
(Academic Torrent) | 2016 | | | | | | | | | 11. | CS224d: Deep Learning for NLP | Richard Socher, Stanford University | CS224d | YouTube-Lectures
(Academic Torrent) | 2016 | | 12. | CS224n: NLP with Deep Learning | Richard Socher, Stanford University | CS224n | YouTube-Lectures | 2017 | | 13. | CS231n: CNNs for Visual Recognition | Justin Johnson, Stanford University | CS231n | YouTube-Lectures
(Academic Torrent) | 2017 | | 14. | Topics in Deep Learning | Ruslan Salakhutdinov, CMU | 10707 | YouTube-Lectures | F2017 | | 15. | Deep Learning Crash Course | Leo Isikdogan, UT Austin | None | YouTube-Lectures | 2017 | | 16. | Deep Learning and its Applications | François Pitié, Trinity College Dublin | EE4C16 | YouTube-Lectures | 2017 | | 17. | Deep Learning | Andrew Ng, Stanford University | CS230 | YouTube-Lectures | 2018 | | 18. | UvA Deep Learning | Efstratios Gavves, University of Amsterdam | UvA-DLC | Lecture-Videos | 2018 | | 19. | Advanced Deep Learning and Reinforcement Learning | Many legends, DeepMind | None | YouTube-Lectures | 2018 | | 20. | Machine Learning | Peter Bloem, Vrije Universiteit Amsterdam | MLVU | YouTube-Lectures | 2018 | | | | | | | | | 21. | Deep Learning | Francois Fleuret, EPFL | EE-59 | Video-Lectures | 2018 | | 22. | Introduction to Deep Learning | Alexander Amini, Harini Suresh and others, MIT | 6.S191 | YouTube-Lectures
2017-version | 2017- 2021 | | 23. | Deep Learning for Self-Driving Cars | Lex Fridman, MIT | 6.S094 | YouTube-Lectures | 2017-2018 | | 24. | Introduction to Deep Learning | Bhiksha Raj and many others, CMU | 11-485/785 | YouTube-Lectures | S2018 | | 25. | Introduction to Deep Learning | Bhiksha Raj and many others, CMU | 11-485/785 | YouTube-Lectures Recitation-Inclusive | F2018 | | 26. | Deep Learning Specialization | Andrew Ng, Stanford | DL.AI | YouTube-Lectures | 2017-2018 | | 27. | Deep Learning | Ali Ghodsi, University of Waterloo | STAT-946 | YouTube-Lectures | F2017 | | 28. | Deep Learning | Mitesh Khapra, IIT-Madras | CS7015 | YouTube-Lectures | 2018 | | 29. | Deep Learning for AI | UPC Barcelona | DLAI-2017
DLAI-2018 | YouTube-Lectures | 2017-2018 | | 30. | Deep Learning | Alex Bronstein and Avi Mendelson, Technion | CS236605 | YouTube-Lectures | 2018 | | | | | | | | | 31. | MIT Deep Learning | Many Researchers, Lex Fridman, MIT | 6.S094, 6.S091, 6.S093 | YouTube-Lectures | 2019 | | 32. | Deep Learning Book companion videos | Ian Goodfellow and others | DL-book slides | YouTube-Lectures | 2017 | | 33. | Theories of Deep Learning | Many Legends, Stanford | Stats-385 | YouTube-Lectures
(first 10 lectures) | F2017 | | 34. | Neural Networks | Grant Sanderson | None | YouTube-Lectures | 2017-2018 | | 35. | CS230: Deep Learning | Andrew Ng, Kian Katanforoosh, Stanford | CS230 | YouTube-Lectures | A2018 | | 36. | Theory of Deep Learning | Lots of Legends, Canary Islands | DALI'18 | YouTube-Lectures | 2018 | | 37. | Introduction to Deep Learning | Alex Smola, UC Berkeley | Stat-157 | YouTube-Lectures | S2019 | | 38. | Deep Unsupervised Learning | Pieter Abbeel, UC Berkeley | CS294-158 | YouTube-Lectures | S2019 | | 39. | Machine Learning | Peter Bloem, Vrije Universiteit Amsterdam | MLVU | YouTube-Lectures | 2019 | | 40. | Deep Learning on Computational Accelerators | Alex Bronstein and Avi Mendelson, Technion | CS236605 | YouTube-Lectures | S2019 | | | | | | | | | 41. | Introduction to Deep Learning | Bhiksha Raj and many others, CMU | 11-785 | YouTube-Lectures | S2019 | | 42. | Introduction to Deep Learning | Bhiksha Raj and many others, CMU | 11-785 | YouTube-Lectures
Recitations | F2019 | | 43. | UvA Deep Learning | Efstratios Gavves, University of Amsterdam | UvA-DLC | Lecture-Videos | S2019 | | 44. | Deep Learning | Prabir Kumar Biswas, IIT Kgp | None | YouTube-Lectures | 2019 | | 45. | Deep Learning and its Applications | Aditya Nigam, IIT Mandi | CS-671 | YouTube-Lectures | 2019 | | 46. | Neural Networks | Neil Rhodes, Harvey Mudd College | CS-152 | YouTube-Lectures | F2019 | | 47. | Deep Learning | Thomas Hofmann, ETH Zürich | DAL-DL | Lecture-Videos | F2019 | | 48. | Deep Learning | Milan Straka, Charles University | NPFL114 | Lecture-Videos | S2019 | | 49. | UvA Deep Learning | Efstratios Gavves, University of Amsterdam | UvA-DLC-19 | Lecture-Videos | F2019 | | 50. | Artificial Intelligence: Principles and Techniques | Percy Liang and Dorsa Sadigh, Stanford University | CS221 | YouTube-Lectures | F2019 | | | | | | | | | 51. | Analyses of Deep Learning | Lots of Legends, Stanford University | STATS-385 | YouTube-Lectures | 2017-2019 | | 52. | **Deep Learning Foundations and Applicati