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 two)
All the evaluation performances of use case two are presented in the following screenshots. For this use case, we are presenting only the results for Mobilenet V1 .The following diagrams present the training, validation, and testing performances of the Mobilenet V1 models on the two datasets. As we can see from the following screenshot, the test accuracy is not that high (77.5%) but good enough for solid waste detection and sorting:
The following screenshot presents the evaluation results of Mobilenet V1 on the dataset generated by TensorBoard:
The following three screenshots show the classification or object ...
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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.