![]() If you plot those points with the colour coded pattern you get the following picture: Have a look at the following table: Input 1 Now let us use this idea in R by training an artificial neuron to classify points in a plane. ![]() Have a look at the following code and its output including the resulting plot: ![]() we train it to learn the adequate behaviour for each quality. We will build and train an artificial neural network that gets the qualities as inputs and little red riding hood’s behaviour as output, i.e. & Hoskins, J.: Back-Propagation, Byte, 1987). ![]() For example the grandmother has big eyes, is kindly and wrinkled – little red riding hood will approach her, talk to her and offer her food (the example is based on Jones, W. They all have certain qualities and little red riding hood reacts in certain ways towards them. Let us dive directly into a (supposedly little silly) example: we have three protagonists in the fairy tale little red riding hood, the wolf, the grandmother, and the woodcutter. Now what is the magic of artificial neural networks (ANNs)? Everything “neural” is (again) the latest craze in machine learning and artificial intelligence.
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