Skip to content

Update README.md #1

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
cjon256 wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Update README.md #1

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@ Linear Diffusion aims to be to Diffusion Models what Logistic Regression is to L
Networks. One of my personal favorite benchmarks is that Logistic Regression, often dismissed by
data scientists as "just" a linear model, is able to achieve > 90% accuracy on the MNIST data set.
While this is far from state of the art, it is much better than many people naively guess. Likewise while Linear
Diffusion is far from the capabilities of models multiple orders of magnitude inside, it still performs surprisingly well!
Diffusion is far from the capabilities of models multiple orders of magnitude in size, it still performs surprisingly well!

Diffusion models can be broken down into 3 major parts:

Expand Down