Stanford CS236: Deep Generative Models I 2023 I Lecture 1 - Introduction

For more information about Stanford's Artificial Intelligence programs visit: stanford.io/ai
To follow along with the course, visit the course website:
deepgenerativemodels.github.io/
Stefano Ermon
Associate Professor of Computer Science, Stanford University
cs.stanford.edu/~ermon/
Learn more about the online course and how to enroll: online.stanford.edu/courses/c...
To view all online courses and programs offered by Stanford, visit: online.stanford.edu/

[@amiteshdas1511]

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[@jibbscat5146]

I’ve never been a note taker , even in my skool dayz

[@kushagradwivedi7167]

Standford is a dream for many and providing free content is absolute perfection

[@ahmad1239112]

Thanks for sharing this

[@harshitmeena1625]

@stanfordonline thank you for uploading please bring cs 231 n new lectures and cs 237 A and B principles of robot autonomy and also CS231a: Computer Vision: From 3D Reconstruction to Recognition

[@guptagirishk]

Thanks for this. Looking forward to learning

[@yassiraladdin5886]

thank you Stanford ♥️♥️♥️

[@laalbujhakkar]

thanks for good audio!

[@pavinthiagu]

I'm learning I'm commenting Stanford ❤

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[@ML_n00b]

Can you put this into a playlist please

[@aiyogiravi]

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[@chriscockrell9495]

Computer vision Computer speech Natural language processing Robotics Can you understand? If you can’t, you can’t create it. Heuristics is part of understanding. Data and prior knowledge High-level definitions of what the thing is. General like a cylinder or a cube.

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