Thank you, really grateful for these kinds of educational videos, especially from a country where AI research can be considered non-existence. While I have a big desire to learn it. The knowledge shared is so precious to me. Thanks thanks thanks.
Superb lecture--very clear explanation of variational autoencoders and the associated tradeoffs between ease of inference and modeling flexibility/power
Big thanks for this incredible overview of latent variable models in a such short time presentation! Indeed, some additional material or literature recommendations on the subject could have been helpful.
*DeepMind x UCL | Deep Learning Lectures | 11/12 | Modern Latent Variable Models*
*My takeaways:*
*1. Lecture outline **0:38*
*2. Generative modeling **1:45*
2.1 Introduction of generative models 1:50
2.2 Progress in generative models 6:30
2.3 Types of generative models 8:00
*3. Latent variable models & inference **15:11*
*4. Invertible models & exact inference **30:15*
*5. Variational inference (VI) **41:47*
*6. Gradient estimation in VI **1:10:25*
*7. Variational autoencoders **1:22:15*
*8. Conclusion **1:27:04*
best presentation on generative approach so far.
Thank you, really grateful for these kinds of educational videos, especially from a country where AI research can be considered non-existence. While I have a big desire to learn it. The knowledge shared is so precious to me. Thanks thanks thanks.
Superb lecture--very clear explanation of variational autoencoders and the associated tradeoffs between ease of inference and modeling flexibility/power
Big thanks for this incredible overview of latent variable models in a such short time presentation! Indeed, some additional material or literature recommendations on the subject could have been helpful.
good work expounding on applications of statistical inference in generative models
Great lecture and big thanks to DeepMind for sharing this great content.
thank you so much for posting these videos!
Great presentation - very clear!
This was great, thanks!
How about conjugate prior for tractability?
Unfortunately, Mnih provides very few references in video and slides
What is a factorial prior?
The slides seem missing, please fix the link!
Love the topic!! On to the lesson...
Ok, it sucked! Why? Too much theory and math, very few practical examples.
I never tease people like you