DDPM Reverse (Denoising) Step

hard
Unit 23 · Rnns0/0 to milestone

A diffusion model generates data by repeatedly denoising. With noise schedule βt\beta_t, αt=1−βt\alpha_t = 1 - \beta_t, αˉt=∏s≤tαs\bar\alpha_t = \prod_{s \le t}\alpha_s and a network predicting the noise ϵ^\hat\epsilon, one DDPM reverse step is

Pro problem

Unlock this and every premium problem across all tracks — plus hidden-test grading, advanced AI engineering modules and new content every week.

Start 7-day free trial
solution.py · Python 3.13
Run your code to see results. ⌘↵ to run · ⌘⇧↵ to submit
DDPM Reverse (Denoising) Step · TechGradify