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TensorFlow 1.x Deep Learning Cookbook

You're reading from TensorFlow 1.x Deep Learning Cookbook Over 90 unique recipes to solve artificial-intelligence driven problems with Python

Product type Paperback

Published in Dec 2017

Publisher Packt

ISBN-13 9781788293594

Length 536 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Deep Learning

Authors (2):

Dr. Amita Kapoor

Antonio Gulli

View More author details

Table of Contents (15) Chapters

Preface

1. TensorFlow - An Introduction

2. Regression FREE CHAPTER

3. Neural Networks - Perceptron

4. Convolutional Neural Networks

5. Advanced Convolutional Neural Networks

6. Recurrent Neural Networks

7. Unsupervised Learning

8. Autoencoders

9. Reinforcement Learning

10. Mobile Computation

11. Generative Models and CapsNet

12. Distributed TensorFlow and Cloud Deep Learning

13. Learning to Learn with AutoML (Meta-Learning)

14. TensorFlow Processing Units

Components of TPUs

Installing TensorFlow mobile for macOS and Android

In this recipe, we will learn how to set up TensorFlow for a mobile environment. My environment is macOS and I develop for Android. However, other configurations will be described during the following recipes.

Getting ready

We will use Android studio, the official integrated development environment (IDE) for Google's Android operating system.

How to do it...

We proceed with installing TensorFlow mobile for macOS and Android as follows:

Install Android Studio from https://developer.android.com/studio/install.html...

The rest of the chapter is locked

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