Stanford CS236: Deep Generative Models I 2023 I Lecture 1 - Introduction
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- Опубліковано 5 тра 2024
- 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/
These free lectures really do deserve more recognition and praise. A Tier 1 Institution providing top tier courses on youtube is just heaven. Its really hard to find people who actually watch and make notes while watching these. Like this video and maybe this comment only if you're actually writing notes and actively learning.
I’ve never been a note taker , even in my skool dayz
Standford is a dream for many and providing free content is absolute perfection
Thanks for sharing this
@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
Thanks for this. Looking forward to learning
thank you Stanford ♥️♥️♥️
thanks for good audio!
I'm learning
I'm commenting
Stanford ❤
yayy
Can you put this into a playlist please
ua-cam.com/play/PL14_CPAN5yShN6x139pvSwLS4o6QaI5rJ.html
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.
anyone looking for AI startup cofounders, comment below with ur LinkedIn