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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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Using fast neural-style transfer models in Android

In Chapter 2, Classifying Images with Transfer Learning, we described how to add TensorFlow to your own Android app, but without any UI. Let's create a new Android app to use the fast-style transfer models we trained earlier and used in iOS.

Because this Android app offers a good opportunity to use the minimal TensorFlow-related code and Android UI and threaded code to run a complete TensorFlow model-powered app, we'll go through each line of the code added from scratch to help you further understand what it takes to develop an Android TensorFlow app from scratch:

In Android Studio, select File | New | New Project... and enter FastNeuralTransfer as the Application Name; accept all the defaults before clicking Finish.
Create a new assets folder, as shown in Figure 2.13, and drag the fast neural transfer models you...

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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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