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Machine Learning for Mobile
book

Machine Learning for Mobile

by Revathi Gopalakrishnan, Avinash Venkateswarlu
December 2018
Intermediate to advanced
274 pages
7h 46m
English
Packt Publishing
Content preview from Machine Learning for Mobile

Model-file format

The following are the highlights of the model-file format:

  • It is lightweight and has very few software dependencies. 
  • It supports quantization.
    • This format is FlatBuffer-based and, hence, increases the speed of execution. FlatBuffer is an open source project by Google, originally designed for video games.
  • FlatBuffer is a cross-platform serialization library and is similar to protocol buffers.
  • This format is more memory-efficient as it does not need a parsing/unpacking step to perform a secondary representation prior to data access. There is no marshaling step and, hence, it uses less code.
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Publisher Resources

ISBN: 9781788629355