#458 overall
Deep Learning (Yann LeCun and Alfredo Canziani)
New York University
1 recommender · 1 thread · recommended in 1 year, 2023 · score 1.0
A deep learning course from NYU taught by Yann LeCun and Alfredo Canziani, delivered as a free video lecture series covering neural networks and related topics such as energy-based models. It is aimed at learners beyond the introductory level.
Commenters call it the single best freely available lecture series on non-beginner deep learning, though one warns it is dense and easy to get lost in.
Machine Learning & AIadvancedfreevideo lectures#deep learning#neural networks#energy-based models#lecun#canziani
Recommendations by year
20062026
NYU's lectures on Deep Learning by Yann LeCun and Alfredo Canziani is the single best freely available lecture on non-beginner Deep Learning. I highly recommend it [0].
[0]: https://youtube.com/playlist?list=PL80I41oVxglKcAHllsU0txr3O...
I've taken both classes. You can take Andrew Ng's class with no prior AI experience. Though Math is a nice addition. Every concept is broken down and explained. You actually get to build real models using python and numpy. This was probably the best course I took for an introduction.
Yann LeCun class has a ton of information and you can easily get lost. I spent a great deal of time after hours trying to figure out what was being said in class. I still can't tell you what energy based models are. Not to take something away from the class, but you will need a whole lot of resources to come out learned in these classes.
The option here is not either or. You will be better off starting with Andrew's class, then muster through Yann's.