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  • Book Overview & Buying Learning Microsoft Cognitive Services
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Learning Microsoft Cognitive Services

Learning Microsoft Cognitive Services - Third Edition

By : Leif Larsen Henning Larsen
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Learning Microsoft Cognitive Services

Learning Microsoft Cognitive Services

By: Leif Larsen Henning Larsen
Buy this Book

Overview of this book

Microsoft Cognitive Services is a set of APIs for integrating artificial intelligence in your applications to solve logical business problems. If you’re new to developing applications with AI, Learning Microsoft Cognitive Services will give you a comprehensive introduction to Microsoft’s AI stack and get you up-to-speed in no time. The book introduces you to 24 APIs, including Emotion, Language, Vision, Speech, Knowledge, and Search. Using Visual Studio, you can develop applications with enhanced capabilities for image processing, speech recognition, text processing, and much more. Moving forward, you will work with datasets that enable your applications to process various data in the form of image, video, or text. By the end of the book, you’ll be able to confidently explore Cognitive Services APIs for building intelligent applications that can be deployed for real-world business uses.
Table of Contents (14 chapters)
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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Get in touch
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1
1. Getting Started with Microsoft Cognitive Services
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1. Getting Started with Microsoft Cognitive Services
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Cognitive Services in action for fun and life-changing purposes
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Setting up the boilerplate code
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Detecting faces with the Face API
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An overview of different APIs
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Getting feedback on detected faces
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Summary
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2. Analyzing Images to Recognize a Face
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2. Analyzing Images to Recognize a Face
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Analyze an image using the Computer Vision API
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Diving deep into the Face API
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Adding identification to our smart-house application
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Knowing your mood using the Face API
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Automatically moderating user content
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Building your own image classifiers
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Summary
3
3. Analyzing Videos
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3. Analyzing Videos
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Diving into Video Indexer
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Unlocking video insights using Video Indexer
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Summary
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4. Letting Applications Understand Commands
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4. Letting Applications Understand Commands
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Creating language-understanding models
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Training a model
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Summary
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5. Speaking with Your Application
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5. Speaking with Your Application
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Converting text to audio and vice versa
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Knowing who is speaking
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Verifying a person through speech
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Customizing speech recognition
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Translating speech on the fly
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Summary
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6. Understanding Text
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6. Understanding Text
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Setting up a common core
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Correcting spelling errors
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Extracting information through textual analysis
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Translating text on the fly
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Summary
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7. Building Recommendation Systems for Businesses
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7. Building Recommendation Systems for Businesses
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Providing personalized recommendations
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Summary
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8. Querying Structured Data in a Natural Way
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8. Querying Structured Data in a Natural Way
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Tapping into academic content using the academic API
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Interpreting natural language queries
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Finding academic entities in query expressions
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Calculating the distribution of attributes from academic entities
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Entity attributes
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Creating the backend using the Knowledge Exploration Service
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Defining attributes
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Adding data
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Building the index
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Understanding natural language
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Local hosting and testing
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Going for scale
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Answering FAQs using QnA Maker
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Creating a knowledge base from frequently asked questions
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Training the model
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Publishing the model
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Summary
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9. Adding Specialized Searches
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9. Adding Specialized Searches
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Searching the web using the smart-house application
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Getting the news
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Searching for images and videos
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Helping the user with autosuggestions
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Search commonalities
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Searching for visual content using Bing Visual Search
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Adding a custom search
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Summary
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10. Connecting the Pieces
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10. Connecting the Pieces
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Completing our smart-house application
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Real-life applications using Microsoft Cognitive Services
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Where to go from here
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Summary
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A. LUIS Entities
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A. LUIS Entities
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LUIS prebuilt entities
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B. License Information
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B. License Information
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Video Frame Analyzer
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OpenCvSharp3
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Newtonsoft.Json
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NAudio
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Index
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Index

Summary

In this chapter, we took a deep dive into a big part of the vision APIs. You first learned how to get good descriptions of images. Next, you learned how to recognize celebrities and text in images, and you learned how to generate thumbnails. Following this, we moved on to the Face API, where we got more information about detected faces. We found out how to verify whether two faces were the same. After this, you learned how to find similar faces and group similar faces. Then we added identification to our smart-house application, allowing it to know who we are. We also added the ability to recognize emotions in faces. We took a quick look into the content moderator to see how you can add automatic moderation to user-generated content. Finally, we briefly looked at the Custom Vision service, and how you can use it to generate specific prediction models.

The next chapter will continue with the final vision API. We will focus on videos, learning what the video indexer API has to offer...

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