January 2018
Intermediate to advanced
310 pages
7h 48m
English
Content preview from Deep Learning for Computer Vision
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Object Detection
Object detection is the act of finding the location of an object in an image. In this chapter, we will learn the techniques of object detection and implement pedestrian detection by understanding the following topics:
- Basics and the difference between localization and detection
- Various datasets and their descriptions
- Algorithms used for object localization and detection
- TensorFlow API for object detection
- Training new object detection models
- Pedestrian detection on a moving car with YOLO algorithm
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.