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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

You're reading from  Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Product type Book
Published in Apr 2020
Publisher Packt
ISBN-13 9781789611212
Pages 380 pages
Edition 1st Edition
Languages
Authors (2):
Anubhav Singh Anubhav Singh
Profile icon Anubhav Singh
Rimjhim Bhadani Rimjhim Bhadani
Profile icon Rimjhim Bhadani
View More author details
Toc

Table of Contents (13) Chapters close

Preface 1. Introduction to Deep Learning for Mobile 2. Mobile Vision - Face Detection Using On-Device Models 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 Appendix

Introduction to image processing

In this chapter, we shall be detecting faces in images. In the context of artificial intelligence, the action of processing an image for the purpose of extracting information about the visual content of that image is called image processing.

Image processing is an emerging field, thanks to the surge in the number of better AI-powered cameras, medical imagery-based machine learning, self-driving vehicles, analysis of people's emotions from images, and many other applications.

Consider the use of image processing by a self-driving vehicle. The vehicle needs to make decisions in as close to real time as possible to ensure the best possible accident-free driving. A delay in the response of the AI model running the car could lead to catastrophic consequences. Several techniques and algorithms have been developed for fast and accurate...

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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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