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Intelligent Mobile Projects with TensorFlow

You're reading from  Intelligent Mobile Projects with TensorFlow

Product type Book
Published in May 2018
Publisher Packt
ISBN-13 9781788834544
Pages 404 pages
Edition 1st Edition
Languages
Author (1):
Jeff Tang Jeff Tang
Profile icon Jeff Tang
Toc

Table of Contents (14) Chapters close

Preface 1. Getting Started with Mobile TensorFlow 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 went through detailed steps to set up Raspberry Pi with all the necessary accessories and operating system, as well as the GoPiGo toolkit that turns a Raspberry Pi board into a moving robot. We then covered how to install TensorFlow on Raspberry Pi and build the TensorFlow library, and how to integrate TTS with image classification, and audio command recognition with GoPiGO APIs, resulting in a Raspberry Pi robot that moves, sees, listens, and speaks, all without using Cloud APIs. Finally, we introduced the OpenAI Gym toolkit for reinforcement learning and showed you how to build and train a powerful reinforcement learning neural network model using TensorFlow to keep your robot in balance in a simulated environment.

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