更新时间：2021-08-13 15:40:55
封面
Learning Microsoft Cognitive Services - Third Edition
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Contributors
About the author
Acknowledgments
About the reviewer
Packt is Searching for Authors Like You
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Download the color images
Conventions used
Get in touch
Reviews
Chapter 1. Getting Started with Microsoft Cognitive Services
Cognitive Services in action for fun and life-changing purposes
Setting up the boilerplate code
Detecting faces with the Face API
An overview of different APIs
Vision
Speech
Language
Knowledge
Search
Getting feedback on detected faces
Summary
Chapter 2. Analyzing Images to Recognize a Face
Analyze an image using the Computer Vision API
Setting up a chapter example project
Generic image analysis
Recognizing celebrities using domain models
Utilizing optical character recognition
Generating image thumbnails
Diving deep into the Face API
Retrieving more information from the detected faces
Deciding whether two faces belong to the same person
Finding similar faces
Grouping similar faces
Adding identification to our smart-house application
Creating our smart-house application
Adding people to be identified
Identifying a person
Knowing your mood using the Face API
Getting images from a web camera
Letting the smart house know your mood
Automatically moderating user content
Types of content moderation APIs
Moderation tools
Building your own image classifiers
Building a classifier
Improving the model
Using the trained model
Chapter 3. Analyzing Videos
Diving into Video Indexer
General overview
Unlocking video insights using Video Indexer
How to use Video Indexer
Chapter 4. Letting Applications Understand Commands
Creating language-understanding models
Creating an application
Recognizing key data using entities
Understanding what the user wants using intents
Simplifying development using prebuilt models
Prebuilt domains
Training a model
Training and publishing the model
Connecting to the smart house application
Model improvement through active usage
Chapter 5. Speaking with Your Application
Converting text to audio and vice versa
Speaking to the application
Letting the application speak back
Utilizing LUIS based on spoken commands
Knowing who is speaking
Adding speaker profiles
Enrolling a profile
Identifying the speaker
Verifying a person through speech
Customizing speech recognition
Creating a custom acoustic model
Creating a custom language model
Deploying the application
Translating speech on the fly
Chapter 6. Understanding Text
Setting up a common core
New project
Web requests
Data contracts
Correcting spelling errors
Extracting information through textual analysis
Detecting language
Extracting key phrases from text
