KANs - New Era of Data Science
In this blog post, I will try to explain the fascinating (but not new) world of Kolmogorov-Arnold Networks (KANs). I will explore how they differ from the more commonly known Multi-Layer Perceptrons (MLPs), discuss their strengths and weaknesses, and provide examples to illustrate their applications. What are Kolmogorov-Arnold Networks? Kolmogorov-Arnold Networks are named after the Kolmogorov-Arnold representation theorem. This theorem states that any continuous function of several variables can be represented as a superposition of continuous functions of one variable and addition....