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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

Audio recognition and robot movement

To use the pre-trained audio recognition model in the TensorFlow tutorial (https://www.tensorflow.org/tutorials/audio_recognition) or its retrained model we described before, we'll reuse a listen.py Python script from https://gist.github.com/aallan, and add the GoPiGo API calls to control the robot movement after it recognizes four basic audio commands: "left," "right," "go," and "stop." The other six commands supported by the pre-trained model—"yes," "no," "up," "down," "on," and "off"—don't apply well in our example, and if you want, you can use a retrained model as shown in Chapter 5, Understanding Simple Speech Commands, to support other voice commands for your specific task.

To run the script, first download the pre...

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