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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 first gave a quick overview on what is transfer learning and why we can and should use it to retrain pretrained deep learning image classification models. Then we presented detailed information on how to retrain an Inception v3-based model and a MobileNet model so we can better understand and recognize our best friends. After that, we first showed how to use the retrained models in the TensorFlow sample iOS and Android apps, then gave step-by-step tutorials on how to add TensorFlow to your own iOS app, both Objective-C and Swift-based, and your own Android app.

Now that we have our best friends, with a few nice and clean tricks, covered, we know there are a lot of other guys out there, good or bad. In the next chapter, we'll learn how to be smarter, how to recognize all the interesting objects in a picture, and locate them, on your smart phone...

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