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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

Introduction to Fritz

Fritz is a free end-to-end platform that enables us to create machine learning-powered mobile applications easily. It is a platform that enables on-device machine learning, that is, it helps to create mobile machine learning applications that can completely work on mobile devices. It supports both iOS and Android platforms.

Prebuilt ML models

Fritz provides built-in ML models that can be directly used in mobile applications. Here are the two important models that Fritz supports:

  • Object detection: You can identify objects of interest in an image or each frame of a live video. This helps you to know what objects are in an image, and where they are within the image. The object-detection feature...
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