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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 Build scalable real-world projects to implement end-to-end neural networks on Android and iOS

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781789611212
Length 380 pages
Edition 1st Edition
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Authors (2):
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Rimjhim Bhadani Rimjhim Bhadani
Author Profile Icon Rimjhim Bhadani
Rimjhim Bhadani
Anubhav Singh Anubhav Singh
Author Profile Icon Anubhav Singh
Anubhav Singh
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Table of Contents (13) Chapters Close

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 Appendix

Building an Image Super-Resolution Application

Remember the last time you went on a trip with your loved ones and took some nice photos to keep as memories, but when you went back home and swiped through them, you found they were very blurry and low quality? Now, all you have remaining of those beautiful moments are your own mental memories and those blurry photos. Wouldn't it be great if your photos could be made crystal clear and you could see every detail in them?

Super-resolution is the process of converting low-resolution images into high-resolution images based on the approximation of pixel information. While it may not be entirely magical today, it will certainly be a life-saver in the future when the technology has progressed enough to become a common AI application.

In this project, we will build an app that uses a deep learning model hosted on DigitalOcean Droplet...

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