Programming Machine Learning

Assembling Perceptrons

The perceptron is a great building block for more complex systems. In a sense, we have been assembling multiple perceptrons since the very beginning. Let’s see how.

During training, our system reads all the examples together, rather than one example at a time. In a way, that operation is like “stacking” multiple perceptrons, sending one example to each perceptron, and then collecting all the outputs into a matrix, like this:

In Chapter 7, ​The Final Challenge​, we also assembled perceptrons in a different way. A perceptron is a binary classifier—it classifies things as either 0 or 1. To classify ten digits, we used ten ...