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Practical: Multi-layer perceptron

A diagram of a multilayer perceptron showing an input layer, a hidden layer, and an output layer
We’ve talked about how deep learning systems are based on the regular machine learning technique known as artificial neural networks.

In this practical we will build and train an image classifier using the flower dataset and the scikit-learn neural network classifier called MLP, standing for MultiLayer Perception.

All the instructions are in the attached pdf in the Downloads section below.

We would encourage you to type the code in as you follow the practical through, to get in the practice of writing your own code.

However, if you want it, the sample script containg all the code used in the practical can be downloaded from our Github repository at

Please let us know how you get on in the comments below.

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Machine Learning for Image Data

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FutureLearn - Learning For Life

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