Data Science, Artificial Intelligence, AI, Machine Learning, Python.
Architecture? Simplest Way To Understand the Working of KAN KANs diverge from traditional MLPs by replacing fixed activation functions with learnable functions (B-Splines), along the edges of the network. This adaptive architecture allows KANs to effectively model complex functions while