zlacker

Nicely designed. Here is another visualizer for CNNs, from research at Georgia Tech:

https://poloclub.github.io/cnn-explainer/

Another link to various visualization tools: https://github.com/ashishpatel26/Tools-to-Design-or-Visualiz...

Another one: https://playground.tensorflow.org/

>>dpflan+(OP)
Thanks for sharing this as well! Love Georgia Tech!

>>dpflan+(OP)
There used to be this video explaining each layer of a neural network visually on youtube back in the days.

>>dpflan+(OP)
Thanks for sharing! I especially like the "Understanding Hyperparameters" widget in the poloclub article. I built something similar that people might find helpful[1].

[1]: https://static.laszlokorte.de/conv2d/

>>laszlo+C21
Excellent, thanks for sharing. These can be such good ways to learn and internalize intuition (and of course teach others!).

>>dpflan+(OP)
ManimML: https://github.com/helblazer811/ManimML

"But what is a convolution?" https://youtu.be/KuXjwB4LzSA?si=qwnZMQYJhDxraGc8 https://github.com/3b1b/videos/tree/master/_2022/convolution... https://github.com/3b1b/videos/tree/master/_2023/convolution...

"Convolution Is Fancy Multiplication" https://news.ycombinator.com/item?id=25190770#25194658

>>37953886 :

> Manim, Blender, ipyblender, PhysX, o3de, [FEM, CFD, [thermal, fluidic,] engineering]: https://github.com/ManimCommunity/manim/issues/3362

Manim + O3DE would be neat and probably useful for learning

A Manim Rubik's cube algorithm video: https://github.com/polylog-cs/rubiks-cube-video/blob/main/co...

Manim API docs: https://docs.manim.community/en/stable/reference.html