ANNs are models based on perceptrons or other similar basic building blocks, and the ones that we will learn about in this book are based on perceptrons. One of the most popular ANN models is the MLP, which we will use in this book. The motivation for using perceptrons in an ANN is that, instead of using one single perceptron for classification, what if we used many of them? Take a look at the following screenshot:
Here, we have three perceptrons and we notice that we have a different bias for each perceptron. But the values for our features will be the same in all cases. If we use three perceptrons, we will get three ...
