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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

Understanding the tools available for creating chatbots

If you're looking to build a conversational experience for users using a chatbot, you'll have a large number of options to build upon. There are several platforms available with different sets of features, each unique in terms of the services they offer.

One genre of chatbots that has been on a constant rise in the last decade, and has successfully paved the way for chatbots to be more readily accepted into professional websites and industry, is artificially intelligent chatbots. What sort of intelligence do these bots offer? What business objectives do they solve?

Let's try to answer both of these questions with a scenario.

Say you own a department store, and employ several employees at your store so that they can guide your customers to the right departments. One day, you realize that these employees...

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