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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 the drawing classification model in Android

It's time to see how we can load and use the model in Android. In the previous chapters, we added TensorFlow support just by using the Android apps' build.gradle file and adding a line compile 'org.tensorflow:tensorflow-android:+' . Compared to iOS, where we have to build a custom TensorFlow library to fix different model loading or running errors (for example, in Chapter 3, Detecting Objects and Their Locations, Chapter 4, Transforming Pictures with Amazing Art Styles, and Chapter 5, Understanding Simple Speech Commands), the default TensorFlow library for Android has better support for registered operations and data types, which could be because Android is Google's first-class citizen while iOS is second, even a close second.

The fact is that, when we deal with all kinds of amazing models out there,...

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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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