Kolmogorov-Arnold Networks (KAN): Alternative to Multi . . . - DigitalOcean Introduced in the year 2024 paper, KANs offer a fresh alternative to the widely used Multi-Layer Perceptrons (MLPs)—the classic building blocks of deep learning MLPs are powerful because they can model complex, nonlinear relationships between inputs and outputs
Welcome to Kolmogorov Arnold Network (KAN) documentation! This documentation is for the paper “KAN: Kolmogorov-Arnold Networks” and the github repo Kolmogorov-Arnold Networks, inspired by the Kolmogorov-Arnold representation theorem, are promising alternatives of Multi-Layer Preceptrons (MLPs)