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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 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:

  1. In Android Studio, select File | New | New Project... and enter FastNeuralTransfer as the Application Name; accept all the defaults before clicking Finish.

  2. Create a new assets folder, as shown in Figure 2.13, and drag the fast neural transfer models you...

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