Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learning Microsoft Cognitive Services

You're reading from   Learning Microsoft Cognitive Services Create intelligent apps with vision, speech, language, and knowledge capabilities using Microsoft Cognitive Services

Arrow left icon
Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781786467843
Length 372 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Leif Larsen Henning Larsen Leif Larsen Henning Larsen
Author Profile Icon Leif Larsen Henning Larsen
Leif Larsen Henning Larsen
Arrow right icon
View More author details
Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started with Microsoft Cognitive Services FREE CHAPTER 2. Analyzing Images to Recognize a Face 3. Analyzing Videos 4. Letting Applications Understand Commands 5. Speak with Your Application 6. Understanding Text 7. Extending Knowledge Based on Context 8. Querying Structured Data in a Natural Way 9. Adding Specialized Searches 10. Connecting the Pieces Appendix A. LUIS Entities and Intents 1. Appendix B. Additional Information on Linguistic Analysis 2. Appendix C. License Information

Training a model


Now that we have a working model, it is time to put it into action.

Training and publishing the model

The first step to using the model is to make sure the model has some utterances to work with. As we have seen, we have added one utterance per intent for now. Before we deploy the application, we need more.

Think of three to four different ways to set or get the room temperature and add them, specifying the entities and intents. Also add a couple of utterances that fall into the None intent, just for reference.

When we have added new utterances, we need to train the model. Doing so will make LUIS develop code to recognize relevant entities and intents in the future. This process is done periodically; however, it is wise to do it when you have made changes, before publication. This can be done by clicking on the Train button, in the bottom-left corner of the screen.

With the training completed, we can now publish the application. This will deploy the models to an HTTP endpoint...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime