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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

Running Distributed TensorFlow on Google Cloud (GCP) with Compute Engine

In this recipe, we are going to learn how to use Google Tensorflow on Google Cloud (GCP). The example we are going to review is the classical MNIST.

Getting ready

It would be good to have a look to how GCP works in https://cloud.google.com/ . Note that GCP offers $300 free credit to get started with any GCP product. In addition, there are free usage limits on some products for eligible customers, during and after the free trial. (Offer is subject to change, see https://cloud.google.com/free/).

How to do it...

...

The rest of the chapter is locked

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