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Intelligent Mobile Projects with TensorFlow

You're reading from   Intelligent Mobile Projects with TensorFlow Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788834544
Length 404 pages
Edition 1st Edition
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Author (1):
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Jeff Tang Jeff Tang
Author Profile Icon Jeff Tang
Jeff Tang
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with Mobile TensorFlow FREE CHAPTER 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

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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