In the previous chapter, we saw how a perceptron operates and how a simple learning algorithm can be implemented. However, the perceptron has some serious limitations, which will motivate us to formulate a more robust artificial neuron, called the sigmoid neuron.
This chapter uses Roassal to plot values. As seen in the previous chapter, you can load Roassal into Pharo by executing the following script in a playground:
Metacello new
baseline: 'Roassal2';
repository: 'github://ObjectProfile/Roassal2/src';
load.
A complete description of Roassal may be found ...
