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R Deep Learning Essentials

You're reading from   R Deep Learning Essentials A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781788992893
Length 378 pages
Edition 2nd Edition
Languages
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Authors (2):
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Joshua F. Wiley Joshua F. Wiley
Author Profile Icon Joshua F. Wiley
Joshua F. Wiley
Mark Hodnett Mark Hodnett
Author Profile Icon Mark Hodnett
Mark Hodnett
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Deep Learning 2. Training a Prediction Model FREE CHAPTER 3. Deep Learning Fundamentals 4. Training Deep Prediction Models 5. Image Classification Using Convolutional Neural Networks 6. Tuning and Optimizing Models 7. Natural Language Processing Using Deep Learning 8. Deep Learning Models Using TensorFlow in R 9. Anomaly Detection and Recommendation Systems 10. Running Deep Learning Models in the Cloud 11. The Next Level in Deep Learning 12. Other Books You May Enjoy

Using Azure for deep learning

Azure is the brand name for Microsoft's cloud services. You can use Azure for deep learning and, similar to AWS, it provides deep learning virtual machines that is pre-configured with deep learning libraries installed. In this example, we are going to create a Windows instance that can be used for Keras or MXNet. This assumes that your local computer is also a Windows computer, as you will be using Remote Desktop Protocol (RDP) to access the cloud instance.

  1. The first step is to create an account in Azure and then log in to Azure at https://portal.azure.com. You will see a screenshot similar to the following. Click Create a resource and search for Deep Learning Virtual Machine:
Figure 10.20: Azure portal website
  1. When you select Deep Learning Virtual Machine, the following screen will appear. Click Create:
Figure 10.21: Provisioning a deep...
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