June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Implementing use case two
The implementation of image-based smart solid waste separation includes two key components:
- A bin with an individual chamber with a controllable lid for each type of solid waste
- An IoT infrastructure with a DL model for image recognition
The first component of the implementation is not within the scope of this book, and we are considering the component as available for this implementation. As shown in the following diagram, the IoT implementation of the use case consists of two main elements:
- Sensors and data gathering: Selection of sensors for data gathering depends on the types of solid waste and their features. ...
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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.