Nicely designed. Here is another visualizer for CNNs, from research at Georgia Tech:<p><a href="https://poloclub.github.io/cnn-explainer/" rel="nofollow noreferrer">https://poloclub.github.io/cnn-explainer/</a><p>Another link to various visualization tools: <a href="https://github.com/ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network">https://github.com/ashishpatel26/Tools-to-Design-or-Visualiz...</a><p>Another one: <a href="https://playground.tensorflow.org/" rel="nofollow noreferrer">https://playground.tensorflow.org/</a>
Great use of colors. Initially I thought these were AI made, and that those animations are examples.<p>But not being so really shows the effort put into this, these are great animations.<p>Thanks for sharing.<p>* And the videos on the YT channel are really worth watching.
Beautifully done. It reminds me of these wonderful 3D animated explainer videos <a href="https://www.youtube.com/@animagraffs">https://www.youtube.com/@animagraffs</a>.
I made my own animations once upon a time using manim, not as shiny but might be helpful too<p><a href="https://www.jerpint.io/blog/cnn-cheatsheet/" rel="nofollow noreferrer">https://www.jerpint.io/blog/cnn-cheatsheet/</a>
For interactive articles on specific ai algorithms, checkout Amazon’s mlu-explain:<p><a href="https://mlu-explain.github.io/" rel="nofollow noreferrer">https://mlu-explain.github.io/</a>
I've often wished the pandas documentation had animations like this. The groupby/split-apply-combine pipeline could probably be explained in one 10-sec clip.
Ah, it's the convolutions part. It's a very nice visual demonstration.<p>I'll subscribe on YT. Would be neat to see the other parts: attention and so on.
The author says in his videos images on web are wrong but then for the why says they are missing details mostly because they aren’t 3D. Isn’t that incomplete not wrong?
These are excellent! Can't wait to share them with some art folks Ive been trying to explain AI processes to and I can't wait to see more! Bravo :^)
Shameless plug for a recent blog post of mine where I try to explain ML convolutions, <a href="https://jlebar.com/2023/9/11/convolutions.html" rel="nofollow noreferrer">https://jlebar.com/2023/9/11/convolutions.html</a>
Hi there, I realize that this is dumbed down "without the numbers". Is there a dumbed down "without the numbers" prerequisite I should look at? Thanks!
I can imagine kindergartens using legos to teach children "And this is , children, how the multi-head attention works". Matrix algebra as used in AI is very good fit for geometric visualizations. But in the end , it doesn't explain Why it works so good or so human-like. Valuable kindergarten lesson though