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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 TensorFlow Magenta multi-style model in Android

Although the TensorFlow Android example app already has code that uses the multi-style model (actually we used the model from the Android example app in our iOS app in the previous section), the TensorFlow-related code in the example app is mixed with a lot of UI code in the over 600-line StylizeActivity.java file. There's also a Codelab for TensorFlow Android Style Transfer (https://codelabs.developers.google.com/codelabs/tensorflow-style-transfer-android/index.html) you can go through, but the code there is about the same as the TensorFlow Android example app. Since we already have a minimalist implementation of an Android app using a TensorFlow fast-style transfer model, it'd be interesting to see how we can change just a few lines of code and have a powerful multi-style style-transfer app. This should also...

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