What are Neural Nets? (cont.)
A “node” (PE) is typically represented as a function.
Simple functions can quickly be “trained” or updated to fit a curve to data, but are unable to fit well to complex data (e.g., linear functions can never approximate quadratics).
Universal Approximator! (typically Radial Basis Function).