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Python Deep Learning Cookbook

You're reading from Python Deep Learning Cookbook

Product type Book

Published in Oct 2017

Publisher Packt

ISBN-13 9781787125193

Pages 330 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Indra den Bakker

Table of Contents (21) Chapters

Title Page

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Programming Environments, GPU Computing, Cloud Solutions, and Deep Learning Frameworks

2. Feed-Forward Neural Networks

3. Convolutional Neural Networks

4. Recurrent Neural Networks

5. Reinforcement Learning

6. Generative Adversarial Networks

7. Computer Vision

8. Natural Language Processing

9. Speech Recognition and Video Analysis

10. Time Series and Structured Data

11. Game Playing Agents and Robotics

12. Hyperparameter Selection, Tuning, and Neural Network Learning

13. Network Internals

14. Pretrained Models

Launching an instance on Google Cloud Platform (GCP)

Another popular cloud provider is Google. Its Google Cloud Platform (GCP) is getting more and has as a major benefit—it includes a newer GPU type, NVIDIA P100, with 16 GB of GPU memory. In this recipe, we provide the steps to launch a GPU-enabled compute machine.

Getting ready

Before with this recipe, you should be with GCP and its cost structure.

How to do it...

You need to request an increase in the GPU quota before you launch a compute instance with a GPU for the first time. Go to https://console.cloud.google.com/projectselector/iam-admin/quotas.
First, select the project you want to use and apply the Metric and Region filters accordingly. The GPU instances should show up as follows:

Figure 1.1: Google Cloud Platform dashboard for increasing the GPU quotas

Select the quota you want to change, click on EDIT QUOTAS, and follow the steps.
You will get an e-mail confirmation when your quota has been increased.
Afterwards, you can create a GPU-enabled machine.
When launching a machine, make sure you tick the Allow HTTP traffic and Allow HTTPs traffic boxes if you want to use a Jupyter notebook.

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Python Deep Learning Cookbook

Published in: Oct 2017 Publisher: Packt ISBN-13: 9781787125193

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Authors (1)

Indra den Bakker

Indra den Bakker is an experienced deep learning engineer and mentor. He is the founder of 23insightspart of NVIDIA's Inception programa machine learning start-up building solutions that transform the worlds most important industries. For Udacity, he mentors students pursuing a Nanodegree in deep learning and related fields, and he is also responsible for reviewing student projects. Indra has a background in computational intelligence and worked for several years as a data scientist for IPG Mediabrands and Screen6 before founding 23insights.

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