Kolmogorov-Arnold Networks (KANs) Might Change AI As We Know It, Forever

A deep dive into how Kolmogorov-Arnold Networks work, how they differ from Multi-Layer Perceptrons, and how to train one from scratch

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A recent pre-print of research published in ArXiv might supercharge the neural networks that we know about today.

These researchers introduced Kolmogorov-Arnold Networks (KANs) which are promising alternatives to the currently dominant Multi-Layer Perceptrons (MLPs) architecture.

This story is a deep dive into what KANs are, how they work, why they might be a great alternative to Multi-Layer Perceptron (MLPs) in the near future, and how to train one from scratch.