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by tomhallett
647 days ago
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If a KAN has multiple layers, would tweaking the equations of a KAN be more similar to tweaking the weights in a MLP/NN, or more similar to tweaking a decision tree? EDIT: I gave the above thread (light_hue_1 > empath75 > svboese > empath75) to chatgpt and had it write a question to learn more, and it gave me "How do KAN networks compare to decision trees or neural networks when it comes to tracing causality and making interpretability more accessible, especially in large, complex models?". Either shows me and ai are on the right track, or i'm as dumb as a statistical token guessing machine.... https://imgur.com/3dSNZrG |
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