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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

Exploring Google's DeepMind

DeepMind is probably one of the most prominent names that comes up when you talk about the growth of self-learning artificial intelligence, owing to their groundbreaking research and achievements in the field. Acquired by Google in 2014, DeepMind is currently a wholly-owned subsidiary of Alphabet since the restructuring of Google in 2015. The most notable works of DeepMind include AlphaGo and its successor, Alpha Zero. Let's discuss these projects in greater depth and try to understand what makes them so important in the present day.

AlphaGo

In 2015, AlphaGo became the first piece of computer software to defeat a professional Go player, Lee Sedol, on a 19x19 board. The breakthrough was...

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