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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

Core ML

  • Apple released Core ML at WWDC'17, and it was updated to Core ML 2 this year. As a reminder, Core ML enables developers to integrate machine learning models into iOS and MacOS apps. This was the first big attempt in this field, and initially developers really liked it for several reasons.
  • Core ML supports a variety of machine learning models, including neural networks, tree ensembles, support vector machines, and generalized linear models. Core ML requires the Core ML model format (models with a .mlmodel file extension).
  • Apple also provides converters to convert the models created in several other libraries to Core ML format. As we have used these converters in this book, we find that these converters are extremely simple to use ...
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Publisher Resources

ISBN: 9781788629355