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Machine Learning for Mobile

You're reading from   Machine Learning for Mobile Practical guide to building intelligent mobile applications powered by machine learning

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781788629355
Length 274 pages
Edition 1st Edition
Tools
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Authors (2):
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Avinash Venkateswarlu Avinash Venkateswarlu
Author Profile Icon Avinash Venkateswarlu
Avinash Venkateswarlu
Revathi Gopalakrishnan Revathi Gopalakrishnan
Author Profile Icon Revathi Gopalakrishnan
Revathi Gopalakrishnan
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to Machine Learning on Mobile FREE CHAPTER 2. Supervised and Unsupervised Learning Algorithms 3. Random Forest on iOS 4. TensorFlow Mobile in Android 5. Regression Using Core ML in iOS 6. The ML Kit SDK 7. Spam Message Detection 8. Fritz 9. Neural Networks on Mobile 10. Mobile Application Using Google Vision 11. The Future of ML on Mobile Applications 12. Question and Answers 13. Other Books You May Enjoy

Understanding ML Kit


ML Kit encompasses all the existing Google offerings for machine learning on mobile. It bundles the Google Cloud Vision API, TensorFlow Lite, and the Android Neural Networks API together in a single SDK, as shown:

ML Kit enables developers to utilize machine learning in their mobile applications for both Android and iOS apps, in a very easy way. Inference can be carried out by invoking APIs that are either on-device or on-cloud.

The advantages of on-device APIs are that they work completely offline, and are more secure as no data is sent to the cloud. By contrast, on-cloud APIs do require network connectivity, and do send data off-device, but allow for greater accuracy.

ML Kit offers APIs covering the following machine learning scenarios that may be required by mobile application developers:

  • Image labeling
  • Text recognition
  • Landmark detection
  • Face detection
  • Barcode scanning 

All these APIs are implemented using complex machine learning algorithms. However, those details are wrapped...

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