Archive | Deep Learning

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…)

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