Скачать или смотреть Diffusion Models Beat GANs on Image Synthesis | ML Coding Series | Part 2

❤️ Become The AI Epiphany Patreon ❤️
  / theaiepiphany  

👨‍👩‍👧‍👦 Join our Discord community 👨‍👩‍👧‍👦
  / discord  

4th video in the ML coding series! In this one I continue explaining diffusion models! I cover the "Diffusion Models Beat GANs on Image Synthesis" paper and the code behind it.

I focus on how classifier guidance works. I cover both the training of the noise-aware classifier as well as the actual sampling (the mean shift method). I also walk you through a minor bug in their code.

Let me know how you find this format!

▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
✅ GitHub: https://github.com/openai/guided-diff...
✅ My issue: https://github.com/openai/guided-diff...
✅ Paper: https://arxiv.org/abs/2105.05233
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

⌚️ Timetable:
00:00:00 Intro
00:01:30 Paper overview part - U-Net architecture improvements
00:05:38 Classifier guidance explained
00:15:18 Intuition behind classifier guidance
00:20:10 Scaling classifier guidance
00:24:10 Diversity vs quality tradeoff and future work
00:26:15 Coding part - training a noise-aware classifier
00:35:35 Main training loop
00:44:26 Visualizing timestep conditioning
00:46:00 Sampling using classifier guidance
00:52:35 Core of the sampling logic
00:59:20 Shifting the mean - classifier guidance
01:05:03 Minor bug in their code and my GitHub issue
01:07:53 Outro

▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
💰 BECOME A PATREON OF THE AI EPIPHANY ❤️

If these videos, GitHub projects, and blogs help you,
consider helping me out by supporting me on Patreon!

The AI Epiphany -   / theaiepiphany  
One-time donation - https://www.paypal.com/paypalme/theai...

Huge thank you to these AI Epiphany patreons:
Eli Mahler
Petar Veličković

▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

💼 LinkedIn -   / aleksagordic  
🐦 Twitter -   / gordic_aleksa  
👨‍👩‍👧‍👦 Discord -   / discord  

📺 YouTube -    / theaiepiphany  
📚 Medium -   / gordicaleksa  
💻 GitHub - https://github.com/gordicaleksa
📢 AI Newsletter - https://aiepiphany.substack.com/

▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

#diffusion #generativemodeling #coding