June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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IoT applications and image recognition
The image recognition landscape in IoT applications is rapidly changing. Significant advances in mobile processing power, edge computing, and machine learning are paving the way for the widespread use of image recognition in many IoT applications. For example, omnipresent mobile devices (which are a key components in many IoT applications) equipped with high-resolution cameras facilitate the generation of images and videos by everyone, everywhere.
Moreover, intelligent video cameras, such as IP cameras and Raspberry Pis with cameras, are used in many places, such as smart homes, campuses, and factories, for different applications. Many IoT applications—including smart cities, smart homes, smart health, ...
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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.
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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.