February 2020
Intermediate to advanced
372 pages
9h 26m
English
This chapter introduces a family of machine learning models called artificial neural networks (ANNs), or sometimes just neural networks. A key characteristic of these models is that they attempt to learn relationships among variables in a multi-layered fashion; they learn multiple functions to predict intermediate results before combining these into a single function to predict something meaningful (such as the class of an object). Recent versions of OpenCV contain an increasing amount of functionality related to ANNs – and, in particular, ANNs with many layers, called deep neural networks (DNNs). We will experiment with both shallower ANNs and DNNs in this chapter.
We have already gained some exposure ...