June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Model performance (use case 1)
The following screenshots present the evaluation results of Mobilenet V1 on a speech command dataset (customized to only five commands, including on, no, off, yes, and stop). Note that on is considered to be switch on the light for use case one due to the lack of a real dataset:
The following screenshot was generated from the TensorBoard log files. The orange line represents the training and the blue one represents the validation accuracy of the Mobilenet V1 on the command dataset:
As we can see from the preceding ...
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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.