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You're reading from Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter Build scalable real-world projects to implement end-to-end neural networks on Android and iOS

Product type Paperback

Published in Apr 2020

Publisher Packt

ISBN-13 9781789611212

Length 380 pages

Edition 1st Edition

Languages

Python

Tools

Android

Concepts

Deep Learning

Authors (2):

Rimjhim Bhadani

Anubhav Singh

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Table of Contents (13) Chapters

Preface

1. Introduction to Deep Learning for Mobile

2. Mobile Vision - Face Detection Using On-Device Models FREE CHAPTER

3. Chatbot Using Actions on Google

4. Recognizing Plant Species

5. Generating Live Captions from a Camera Feed

6. Building an Artificial Intelligence Authentication System

7. Speech/Multimedia Processing - Generating Music Using AI

8. Reinforced Neural Network-Based Chess Engine

9. Building an Image Super-Resolution Application

10. Road Ahead

11. Other Books You May Enjoy

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Appendix

Technical requirements

You require Visual Studio Code with Flutter and the Dart plugin, and will need to setup the Firebase console. The GitHub repository for this chapter is at https://github.com/PacktPublishing/Mobile-Deep-Learning-Projects/tree/master/Chapter2.

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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Published in: Apr 2020

Publisher: Packt

ISBN-13: 9781789611212

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Authors (2)

Anubhav Singh

Anubhav Singh, a web developer since before Bootstrap was launched, is an explorer of technologies, often pulling off crazy combinations of uncommon tech. An international rank holder in the Cyber Olympiad, he started off by developing his own social network and search engine as his first projects at the age of 15, which stood among the top 500 websites of India during their operational years. He's continuously developing software for the community in domains with roads less walked on. You can often catch him guiding students on how to approach ML or the web, or both together. He's also the founder of The Code Foundation, an AI-focused start-up. Anubhav is a Venkat Panchapakesan Memorial Scholarship awardee and an Intel Software Innovator.

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Bhadani

Rimjhim Bhadani is an open source lover. She has always believed in making the resources accessible to everyone at a minimal cost. She is a big fan of Mobile Application Development and has developed a number of projects most which aim to solve major and minor daily life challenges. She has been an Android mentor in Google Code-In and an Android developer for Google Summer of Code. Supporting her vision to serve the community, she is one among the six Indian students to be recognized as Google Venkat Panchapakesan Memorial Scholar and one among the three Indian students to be awarded the Grace Hopper Student Scholarship in 2019.

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