Perceptrons - the most basic form of a neural network · Applied Go

In this article we'll have a quick look at artificial neural networks in general, then we examine a single neuron, and finally (this is the coding part) we take the most basic version of an artificial neuron, the perceptron, and make it classify points on a plane. Have you ever wondered why there are tasks that are dead simple for any human but incredibly difficult for computers? Artificial neural networks (short: ANN's) were inspired by the central nervous system of humans. Like their biological counterpart, ANN's are built upon simple signal processing elements that are connected together into a large mesh. ANN's have been successfully applied to a number of problem domains: Agreed, this sounds a bit abstract, so let's look at some real-world applications.