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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

Summary

In this chapter, we covered how to install TensorFlow 1.4 on Mac and Ubuntu, how to set up a cost effective NVIDIA GPU on Ubuntu for faster model training, and how to set up Xcode and Android Studio for mobile AI app development. We also showed you how to run some cool sample TensorFlow iOS and Android apps. We'll discuss in detail in the rest of the book how to build and train, or retrain each of those models used in the apps, and many others, on our GPU-powered Ubuntu system, and show you how to deploy the models in iOS and Android apps and write the code to use the models in your mobile AI apps. Now that we're all set and ready, we can't wait to hit the road. It'll be an exciting journey, a journey we'd certainly be happy to share with our friends. So why not start with our best friends, and let's see what it takes to build a dog breed recognition app?

You have been reading a chapter from
Intelligent Mobile Projects with TensorFlow
Published in: May 2018
Publisher: Packt
ISBN-13: 9781788834544
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