December 2018
Intermediate to advanced
274 pages
7h 46m
English
Content preview from Machine Learning for Mobile
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TensorFlow Lite components
In this section, we will go through the details of TensorFlow Lite: the overall architecture, the key components, and their functionality.
The following diagram provides a high-level overview of the key components and how they interact to bring machine learning to mobile devices:
The following are the key steps to be followed when implementing ML on devices:
- Use the TensorFlow, or any other machine learning framework, to create the trained TensorFlow/ML models on the desktop. The trained model can also be created using any Cloud ML engine.
- Use the TensorFlow Lite converter to convert the trained ML model to the ...
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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.