Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Advanced Search Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Learning Microsoft Cognitive Services
  • Table Of Contents Toc
  • Feedback & Rating feedback
Learning Microsoft Cognitive Services

Learning Microsoft Cognitive Services

By : Leif Larsen Henning Larsen
Buy this Book
close
close
Learning Microsoft Cognitive Services

Learning Microsoft Cognitive Services

By: Leif Larsen Henning Larsen
Buy this Book

Overview of this book

Take your app development to the next level with Learning Microsoft Cognitive Services. Using Leif's knowledge of each of the powerful APIs, you'll learn how to create smarter apps with more human-like capabilities. ? Discover what each API has to offer and learn how to add it to your app ? Study each AI using theory and practical examples ? Learn current API best practices
Table of Contents (14 chapters)
close
close
close
Preface
Icon
Preface
Icon
What this book covers
Icon
What you need for this book
Icon
Who this book is for
Icon
Conventions
Icon
Reader feedback
Icon
Customer support
Free Chapter
1
1. Getting Started with Microsoft Cognitive Services
Icon
1. Getting Started with Microsoft Cognitive Services
Icon
Cognitive Services in action for fun and life changing purposes
Icon
Setting up boilerplate code
Icon
Detecting faces with the Face API
Icon
Overview of what we are dealing with
Icon
Getting feedback on detected faces
Icon
Summary
2
2. Analyzing Images to Recognize a Face
Icon
2. Analyzing Images to Recognize a Face
Icon
Learning what an image is about using Computer Vision API
Icon
Diving deep into the Face API
Icon
Adding identification to our Smart-House application
Icon
Summary
3
3. Analyzing Videos
Icon
3. Analyzing Videos
Icon
Knowing your mood using the Emotion API
Icon
Diving into the Video API
Icon
Analyzing emotions in videos
Icon
Summary
4
4. Letting Applications Understand Commands
Icon
4. Letting Applications Understand Commands
Icon
Creating language-understanding models
Icon
Training a model
Icon
Executing operations based on commands
Icon
Summary
5
5. Speak with Your Application
Icon
5. Speak with Your Application
Icon
Converting text to audio and vice versa
Icon
Knowing who is speaking
Icon
Verifying a person through speech
Icon
Customizing speech recognition
Icon
Summary
6
6. Understanding Text
chevron up
Icon
6. Understanding Text
Icon
Setting up a common core
Icon
Correcting spelling errors
Icon
Natural Language Processing using the Web Language Model
Icon
Extracting information through textual analysis
Icon
Exploring text using linguistic analysis
Icon
Summary
7
7. Extending Knowledge Based on Context
Icon
7. Extending Knowledge Based on Context
Icon
Linking entities based on context
Icon
Providing personalized recommendations
Icon
Summary
8
8. Querying Structured Data in a Natural Way
Icon
8. Querying Structured Data in a Natural Way
Icon
Tapping into academic content using the Academic API
Icon
Creating the backend using the Knowledge Exploration Service
Icon
Answering FAQs using QnA Maker
Icon
Summary
9
9. Adding Specialized Searches
Icon
9. Adding Specialized Searches
Icon
Searching the Web from the Smart-House application
Icon
Getting the news
Icon
Searching for images and videos
Icon
Helping the user with auto suggestions
Icon
Search commonalities
Icon
Summary
10
10. Connecting the Pieces
Icon
10. Connecting the Pieces
Icon
Connecting the pieces
Icon
Real-life applications using Microsoft Cognitive Services
Icon
Where to go from here
Icon
Summary
Appendix A. LUIS Entities and Intents
Icon
LUIS pre-built intents
Icon
LUIS pre-built entities
Appendix B. Additional Information on Linguistic Analysis
Icon
Part-of-Speech Tags
Icon
Phrase types
Appendix C. License Information
Icon
Appendix C. License Information
Icon
Video Frame Analyzer
Icon
OpenCvSharp3
Icon
Newtonsoft.Json
Icon
NAudio

Summary

Throughout this chapter, we have focused on the Language APIs. We started by creating the parts needed to execute API calls to the different services. Following this, we looked at the Bing Spell Check API. Next, we learned how to use web language models to break words and calculate probability of word sequences. We moved into more analytical APIs, where we learned how to detect languages, key phrases, and sentiment. We completed the chapter by taking a brief look into linguistic analysis.

The next chapter will take us from Language APIs into Knowledge APIs. In this chapter, we will learn how to recognize and identify entities based on context. In addition, we will learn how to use the Recommendations API.

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech
Start a 7-day FREE trial
End of Chapter 6
Next Chapter

Create a Note

Modal Close icon
You need to login to use this feature.
notes
bookmark search playlist download
font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Delete Note

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Edit Note

Modal Close icon
Write a note (max 255 characters)
Cancel
Update Note

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY