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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 iOS

The TensorFlow Magenta project (https://github.com/tensorflow/magenta) allows you to use over 10 pre-trained models to generate new music and images. We'll focus on using Magenta's image stylization models in this and the next sections. You can follow the link to install Magenta on your computer, although to use their cool image-style transfer models in your mobile apps, you don't have to install Magenta. The Magenta pre-trained style transfer model, implemented based on the paper A Learned Representation for Artistic Style in 2017, removes the limitation that one model can only have one style and allows many styles to be included in a single model file, and you can choose to use any combination of those styles. You can take a quick look at the demo at https://github.com/tensorflow/magenta/tree/master/magenta...

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