So amazing, wish there were more articles like this. I love visual learning.
Also reminds me of another blog post: https://pomb.us/build-your-own-react/ , probably not directly the same, but similar-ish blog posts, easy to stay on track and follow. It is so easy to learn with this kind of blog post.
So amazing, wish there were more articles like this. I love visual learning. Also reminds me of another blog post: https://pomb.us/build-your-own-react/ , probably not directly the same, but similar-ish blog posts, easy to stay on track and follow. It is so easy to learn with this kind of blog post.
It is a masterpiece! Each time I give an introduction to machine learning, I use this explorable explanation.
There is a collection of a few more here: https://p.migdal.pl/interactive-machine-learning-list/
This is from 2015. Both technically and conceptually it was ahead of its time.
It's a pity there seems not to be new (or other) material from Tony Hschu and Stephanie Jyee.
(Or can anybody find something more?)
has anyone come across an r2d3-style explainer for something as high-dimensional as a Transformer's attention mechanism?
Not quite, but these help
https://poloclub.github.io/transformer-explainer/
https://youtu.be/wjZofJX0v4M?si=gT8Zlz1IY14KV_ju
Where's the rest of it?
Josh Starmers books are very visual as well, probably the best source I'd recommend to learn ML
https://www.youtube.com/c/joshstarmer https://statquest.org/