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Intelligent Mobile Projects with TensorFlow

You're reading from Intelligent Mobile Projects with TensorFlow

Product type Book

Published in May 2018

Publisher Packt

ISBN-13 9781788834544

Pages 404 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Author (1):

Jeff Tang

Table of Contents (14) Chapters

Preface

1. Getting Started with Mobile TensorFlow

2. Classifying Images with Transfer Learning

3. Detecting Objects and Their Locations

4. Transforming Pictures with Amazing Art Styles

5. Understanding Simple Speech Commands

6. Describing Images in Natural Language

7. Recognizing Drawing with CNN and LSTM

8. Predicting Stock Price with RNN

9. Generating and Enhancing Images with GAN

10. Building an AlphaZero-like Mobile Game App

11. Using TensorFlow Lite and Core ML on Mobile

12. Developing TensorFlow Apps on Raspberry Pi

13. Other Books You May Enjoy

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Summary

In this chapter, we covered how to install TensorFlow 1.4 on Mac and Ubuntu, how to set up a cost effective NVIDIA GPU on Ubuntu for faster model training, and how to set up Xcode and Android Studio for mobile AI app development. We also showed you how to run some cool sample TensorFlow iOS and Android apps. We'll discuss in detail in the rest of the book how to build and train, or retrain each of those models used in the apps, and many others, on our GPU-powered Ubuntu system, and show you how to deploy the models in iOS and Android apps and write the code to use the models in your mobile AI apps. Now that we're all set and ready, we can't wait to hit the road. It'll be an exciting journey, a journey we'd certainly be happy to share with our friends. So why not start with our best friends, and let's see what it takes to build a dog breed recognition app?

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Intelligent Mobile Projects with TensorFlow

Published in: May 2018 Publisher: Packt ISBN-13: 9781788834544

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Authors (1)

Jeff Tang

Jeff Tang fell in love with classical AI more than two decades ago. After his MS in CS, he worked on Machine Translation for 2 years and then, to survive the long AI winter, he worked on enterprise apps, voice apps, web apps, and mobile apps at startups, AOL, Baidu, and Qualcomm. He developed a top-selling iOS app with millions of downloads and was recognized by Google as a Top Android Market Developer. He reconnected with modern AI in 2015 and knew that AI will be his passion and commitment for the next two decades. One of his favorite topics is to make AI available anytime anywhere and hence the book.

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