Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788834544
Length 404 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Jeff Tang Jeff Tang
Author Profile Icon Jeff Tang
Jeff Tang
Arrow right icon
View More author details
Toc

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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime