Universal Function Approximator
Given a good number of hidden layers, a neural network can learn a continuous function.
Previous Works
Blog(s)
Code
Paper(s)
- George Cybenko. 1989. Approximations by superpositions of sigmoidal functions
- Kurt Hornik. 1991. Approximation Capabilities of Multilayer Feedforward Networks