The multilayer perceptron is one of the most popular neural network approach for supervised learning, and that it was very effective if we know to determine the number of neurons in the hidden layers.
In this tutorial, we will try to explain the role of neurons in the hidden layer of the multilayer perceptron (when we have one hidden layer). Using an artificial toy dataset, we show the behavior of the classifier when we modify the number of neurons.
We work with Tanagra in a first step. Then, we use R (nnet package) to create a program to determine automatically the right number of neurons into the hidden layer.
Keywords: neural network, perceptron, multilayer perceptron, MLP
Components: MULTILAYER PERCEPTRON, FORMULA
Tutorial: Configuration of a MLP
Dataset: artificial2d.zip
References:
Tanagra Tutorials, "Single layer and multilayer perceptron (slides)", September 2014.
Tanagra Tutorials, "Multilayer perceptron - Software comparison", November 2008.
