In this post, I will look at how TensorFlow has gained momentum over competing projects. Unless you’re living away from all of this on a beach (or under a rock if you wish), you already know TensorFlow is a Computational Graph framework, and you hear it being tossed around in the context of Deep Learning/Neural Networks. I […]
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Universal Function Approximation using TensorFlow
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…)