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Machine Learning Projects for Mobile Applications

You're reading from   Machine Learning Projects for Mobile Applications Build Android and iOS applications using TensorFlow Lite and Core ML

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788994590
Length 246 pages
Edition 1st Edition
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Karthikeyan NG Karthikeyan NG
Author Profile Icon Karthikeyan NG
Karthikeyan NG
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Toc

Deep Diving into the ML Kit with Firebase

In this chapter, we are going to further explore the Google Firebase-based ML Kit platform for mobile applications. 

Google launched Firebase ML Kit at I/O 2018. The ML Kit is a part of the Firebase application suite that enables developers to incorporate machine learning (ML) capabilities into mobile applications. The Firebase ML Kit Software Development Kit (SDK) comes with a few features that are common among mobile applications, helping Android and iOS developers irrespective of their familiarity with ML.

The concepts covered throughout the chapter are as follows:

  • Understanding the basics of the ML Kit
  • Learning to add Firebase to our applications
  • Creating multiple applications that can be used for face detection, barcode scanning, and on-device text recognition using Firebase
Here is a link to our repository for this ...
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