vault backup: 2024-10-28 10:40:19

This commit is contained in:
Dane Sabo 2024-10-28 10:40:19 -04:00
parent fa5c392020
commit 12936e55c1

View File

@ -38,4 +38,6 @@ Something to justify, why diffusion model as opposed to other generative AI
15. But if we destroy the input how can we do this? 15. But if we destroy the input how can we do this?
16. Well we train a neural network as a denoiser. 16. Well we train a neural network as a denoiser.
17. Because the diffusion model forward steps are small and gaussian, we can know the reverse step is also a gaussian distribution. 17. Because the diffusion model forward steps are small and gaussian, we can know the reverse step is also a gaussian distribution.
18. So for our neural network, what we're trying to learn is the mean and standard deviation of the reverse steps for a given timestep. 18. So for our neural network, what we're trying to learn is the mean and standard deviation of the reverse steps for a given timestep.
## Writin some stuff