Skip to Content
Python Deep Learning - Second Edition
book

Python Deep Learning - Second Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
January 2019
Intermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

Object detection with YOLOv3

In this section, we'll discuss one of the most popular detection algorithms, called YOLO. The name is an acronym for the popular motto "You only live once," which reflects the one-stage nature of the algorithm. The authors have released three versions with incremental improvements of the algorithm. We'll first discuss the latest, v3.

Before diving deeper (pun intended), we should mention a few things about YOLO:

  • It works with a fully-convolutional network (without pooling layers), not unlike the ones we've seen in this chapter. It uses residual connections and batch normalization. The YOLOv3 network uses three different scales of the image for prediction. What makes it different, though, is the use of special ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Python Deep Learning

Python Deep Learning

Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants

Publisher Resources

ISBN: 9781789348460Supplemental Content