CS 198-126: Lecture 12 - Diffusion Models
![](https://i.ytimg.com/vi/dEiued7ljWE/mqdefault.jpg)
42:09
CS 198-126: Lecture 13 - Intro to Sequence Modeling
![](https://i.ytimg.com/vi/NhdzGfB1q74/mqdefault.jpg)
10:31
The U-Net (actually) explained in 10 minutes
![](https://i.ytimg.com/vi/r4V0vLhYZIQ/mqdefault.jpg)
18:28
Diffusion Models (DDPM & DDIM) - Easily explained!
![](https://i.ytimg.com/vi/9vM4p9NN0Ts/mqdefault.jpg)
1:44:31
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
![](https://i.ytimg.com/vi/zym04Mq36AQ/mqdefault.jpg)
1:05:42
Denoising Diffusion Probabilistic Models - Présentation en Français
![](https://i.ytimg.com/vi/a4Yfz2FxXiY/mqdefault.jpg)
30:54
Diffusion models from scratch in PyTorch
![](https://i.ytimg.com/vi/ceu7CESRsI0/mqdefault.jpg)
47:43
CS 198-126: Lecture 9 - Autoencoders, VAEs, Generative Modeling
![](https://i.ytimg.com/vi/0K56LA821ys/mqdefault.jpg)
3:23:53