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 one)
All the evaluation performances of use case one are presented in the following screenshots. The following six screenshots present the training, validation, and testing performances of Incentive V3 and Mobilenet V1 models on the two sets of data. The first three screenshots present the results generated in the terminal after retraining the models, and the last three screenshots are generated from the TensorBoard.
The following screenshot presents the evaluation results of Incentive V3 on the original dataset:
The following screenshot presents the evaluation results of Incentive V3 on the modified dataset: ...
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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.