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TensorFlow 1.x Deep Learning Cookbook

You're reading from TensorFlow 1.x Deep Learning Cookbook

Product type Book

Published in Dec 2017

Publisher Packt

ISBN-13 9781788293594

Pages 536 pages

Edition 1st Edition

Languages

Concepts

Table of Contents (15) Chapters

Preface

1. TensorFlow - An Introduction

2. Regression

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

Working with TensorFlow and GPUs

In this recipe we will learn how to use TensorFlow with GPUs: the operation performed is a simple matrix multiplication either on CPU or on GPU.

Getting ready

The first step is to install a version of TensorFlow that supports GPUs. The official TensorFlow Installation Instruction is your starting point https://www.tensorflow.org/ . Remember that you need to have an environment supporting GPUs either via CUDA or CuDNN.

How to do it...

We proceed with the recipe as follows:

Start by importing a few modules

import sys
import numpy as np
import...

The rest of the chapter is locked

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