Simply explained! KAN: Kolmogorov-Arnold Networks is interpretable! Mathematics and Physics

Welcome to Binnie's channel!
Kolmogorov-Arnold Networks (KAN Network) is interpretable!
Those figures are modified from the original paper and GitHub.
Original paper link: arxiv.org/abs/2404.19756
GitHub: github.com/KindXiaoming/pykan
#mathematics #physics #bigdata #datascience #dataanalytics #deeplearning #machinelearning #kolmogorovarnold

[@cyberneticqualanaut7207]

Good concise explanation. This is really a generalization of a Fourier Series approximation for any function.

[@pohungsit7547]

I worked on this problems for several years. This explanation could inspire me a lot

[@kaholau5904]

Clear explained，終生受用 多謝指點

[@poonsiuhang5920]

Thanks for sharing!

[@user-kv5jz2cz7y]

🤯