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Learning OpenCV 4 Computer Vision with Python 3 - Third Edition
book

Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

by Joseph Howse, Joe Minichino
February 2020
Intermediate to advanced
372 pages
9h 26m
English
Packt Publishing
Content preview from Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Introduction to Neural Networks with OpenCV

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.

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Publisher Resources

ISBN: 9781789531619Supplemental Content