AI and Machine Learning for on-Device Development : a Programmer's guide By Laurence Moroney.

By:

Moroney, Laurence

Material type: Text

TextPublication details: Mumbai: Shroof Pub., c2021.Edition: 1Description: i-xv+310PISBN:

9789391043940

Subject(s):

Application software -- Development. Machine learning. Mobile computing

DDC classification:

006.31 MOR-A

Contents:

1. Introduction to AI and machine learning -- 2. Introduction to computer vision -- 3. Introduction to ML kit -- 4. Computer vision apps with ML kit on Android -- 5. Text processing apps with ML kit on Android -- 6. Computer vision apps with ML kit on iOS -- 7. Text processing apps with ML kit on iOS -- 8. Going deeper : understanding TensorFlow Lite -- 9. Creating custom models -- 10. Using custom models in Android -- 11. Using custom models in iOS -- 12. Productizing your app using Firebase -- 13. Create ML and Core ML for simple iOS apps -- 14. Accessing Cloud-based models from mobile apps -- 15. Ethics, fairness, and privacy for mobile apps.

Summary: AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android. Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today.

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	006.31 MOR-A (Browse shelf(Opens below))	Available		DCB4021

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This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android. It offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition

1. Introduction to AI and machine learning --
2. Introduction to computer vision --
3. Introduction to ML kit --
4. Computer vision apps with ML kit on Android --
5. Text processing apps with ML kit on Android --
6. Computer vision apps with ML kit on iOS --
7. Text processing apps with ML kit on iOS --
8. Going deeper : understanding TensorFlow Lite --
9. Creating custom models --
10. Using custom models in Android --
11. Using custom models in iOS --
12. Productizing your app using Firebase --
13. Create ML and Core ML for simple iOS apps --
14. Accessing Cloud-based models from mobile apps --
15. Ethics, fairness, and privacy for mobile apps.

AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android. Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today.

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