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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

Using the Keras RNN LSTM API for stock price prediction

Keras is a very easy-to-use high-level deep learning Python library running on top of other popular deep learning libraries, including TensorFlow, Theano, and CNTK. As you'll see soon, Keras makes building and playing with models a lot easier. To install and use Keras, along with TensorFlow as Keras' backend, it's best to set up a virtualenv first:

sudo pip install virtualenv

Then run the following commands, if you have TensorFlow 1.4 source on your machine and your iOS and Android apps; use the TensorFlow 1.4 custom library:

cd
mkdir ~/tf14_keras
virtualenv --system-site-packages ~/tf14_keras/
cd ~/tf14_keras/
source ./bin/activate
easy_install -U pip
pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.4.0-py2-none-any.whl
pip install keras

If you have TensorFlow 1.5 source on your...

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