December 2018
Intermediate to advanced
274 pages
7h 46m
English
Content preview from Machine Learning for Mobile
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Hardware manufacturers
The hardware is the platform that forms the basis for executing ML mobile applications. ML has specific requirements in terms of processing units and memory in order to run the complex ML algorithms. Until recently hardware limitations was one reason that drove the majority of ML processing to be undertaken in backend servers where there are no limits on processing units or memory. But now, most device manufacturers are making groundbreaking innovations that render hardware suitable for running mobile on-device ML applications:
- Apple has already designed and built a neural engine as part of its iPhone X's main chip set to handle complex ML-driven image processing.
- In the Pixel 2 device, Google has also built a custom ...
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