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Learning Microsoft Cognitive Services

You're reading from   Learning Microsoft Cognitive Services Use Cognitive Services APIs to add AI capabilities to your applications

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789800616
Length 312 pages
Edition 3rd Edition
Languages
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Author (1):
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Leif Larsen Henning Larsen Leif Larsen Henning Larsen
Author Profile Icon Leif Larsen Henning Larsen
Leif Larsen Henning Larsen
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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started with Microsoft Cognitive Services 2. Analyzing Images to Recognize a Face FREE CHAPTER 3. Analyzing Videos 4. Letting Applications Understand Commands 5. Speaking with Your Application 6. Understanding Text 7. Building Recommendation Systems for Businesses 8. Querying Structured Data in a Natural Way 9. Adding Specialized Searches 10. Connecting the Pieces A. LUIS Entities B. License Information Index

Going for scale


While it is nice to be able to create local prototypes, the limitations ensure that we need to deploy the service elsewhere for production. In this case, this means deploying the KES to Microsoft Azure.

We will now look at the steps required to deploy the KES to Microsoft Azure.

Hooking into Microsoft Azure

The first step is to download the Azure publish settings file. This needs to be saved as AzurePublishSettings.xml and stored in the directory in which kes.exe runs.

Note

You can find the Azure publish settings file at https://manage.windowsazure.com/publishsettings/.

There are two ways to build and host the KES without restrictions. The first way is to boot up a Windows virtual machine in Azure. On this VM, you should follow the same steps that we took locally. This allows for rapid prototyping, but without any restrictions.

The second way is to run kes.exe locally, but adding --remote as a parameter. This will create a temporary Azure VM, build the index, and upload the index...

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