Skip main navigation

Hurry, only 6 days left to get one year of Unlimited learning for £249.99 £174.99. New subscribers only. T&Cs apply

Find out more

Multilayer perceptrons

Multilayer perceptrons are networks of perceptrons. Ian Witten explains how they can implement arbitrary decision boundaries using "hidden layers".

Multilayer perceptrons are networks of perceptrons, networks of linear classifiers. In fact, they can implement arbitrary decision boundaries using “hidden layers”. Weka has a graphical interface that lets you create your own network structure with as many perceptrons and connections as you like. A quick test showed that a multilayer perceptron with one hidden layer gave better results than other methods on two out of six data sets – not too bad. But it was 10–2000 times slower than other methods, which is a bit of a disadvantage.

This article is from the free online

More Data Mining with Weka

Created by
FutureLearn - Learning For Life

Reach your personal and professional goals

Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.

Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.

Start Learning now