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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

Concepts

Machine Learning

Author (1):

Jeff Tang

Table of Contents (14) Chapters

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

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Image recognition and text to speech

There are two TensorFlow Raspberry Pi example apps (https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/pi_examples) located in tensorflow/contrib/pi_examples: label_image and camera. We'll modify the camera example app to integrate text to speech so the app can speak out its recognized images when moving around. Before we build and test the two apps, we need to install some libraries and download the prebuilt TensorFlow Inception model file:

sudo apt-get install -y libjpeg-dev
sudo apt-get install libv4l-dev

curl https://storage.googleapis.com/download.tensorflow.org/models/inception_dec_2015_stripped.zip -o /tmp/inception_dec_2015_stripped.zip

cd ~/tensorflow-1.6.0
unzip /tmp/inception_dec_2015_stripped.zip -d tensorflow/contrib/pi_examples/label_image/data/

To build the label_image and camera apps, run:

make -f tensorflow...

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Authors (1)

Jeff Tang

Jeff Tang fell in love with classical AI more than two decades ago. After his MS in CS, he worked on Machine Translation for 2 years and then, to survive the long AI winter, he worked on enterprise apps, voice apps, web apps, and mobile apps at startups, AOL, Baidu, and Qualcomm. He developed a top-selling iOS app with millions of downloads and was recognized by Google as a Top Android Market Developer. He reconnected with modern AI in 2015 and knew that AI will be his passion and commitment for the next two decades. One of his favorite topics is to make AI available anytime anywhere and hence the book.

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