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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

Final words

So it's about time to say Goodbye. In this book, we started with three pre-trained TensorFlow models of image classification, object detection, and neural-style transfer, and discussed in detail how we can retrain the models and use them in iOS and Android apps. Then we covered three interesting models from the TensorFlow tutorials built with Python —audio recognition, image captioning, and quick drawing—and showed how to retrain and run the models on mobile.

After that, we developed RNN models from scratch for stock price prediction in TensorFlow and Keras, two GAN models for digit recognition and pixel translation, and an AlphaZero-like model for Connect 4, along with complete iOS and Android apps using all those TensorFlow models. We then covered how to use TensorFlow Lite, as well as Apple's Core ML with standard machine learning models...

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