June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Evaluating models
Firstly, we have identified the size of the retrain models. As shown in the following screenshot, Mobilenet V1 requires only 17.1 MB (for both use cases), which is than one-fifth of Incentive V3 (92.3 MB), and this model can be easily deployed in resource-constrained IoT devices, including Raspberry Pi or smartphones. Secondly, we have evaluated the performance of the models. Two levels of performance evaluation have been done for the use cases: (i) dataset-wide evaluation or testing has been done during the retraining phase on the desktop PC platform/server, and (ii) an individual image or sample (real-life image) was tested or evaluated in the Raspberry Pi 3 environment:
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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.