A multilayered neural network with even a single hidden layer can learn any function. This universal function approximation property of multilayer perceptrons was first noted by Cybenko (1989) and Hornik (1991). In this post, I will use TensorFlow to implement a multilayer neural network (also known as a multilayer perceptron) to learn arbitrary Python lambda expressions. (more…)
Author Archive | Delip
Google TensorFlow: Updates & Lessons
TensorFlow came out today, and like the rest of the ML world, I buried myself with it. I have never been more excited about a new open source code. There are actionable tutorials etc. on the home page that’s worth checking out, but I wanted to know if this was yet another computational graph framework — […]