封面
Learning Microsoft Cognitive Services - Third Edition
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Contributors
About the author
Acknowledgments
About the reviewer
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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
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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
Summary
Chapter 3. Analyzing Videos
Diving into Video Indexer
General overview
Unlocking video insights using Video Indexer
How to use Video Indexer
Summary
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
Summary
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
Summary
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
Learning whether a text is positive or negative
Translating text on the fly
Translating text
Converting text script
Working with languages
Summary
Chapter 7. Building Recommendation Systems for Businesses
Providing personalized recommendations
Deploying the Recommendation Solution template in Azure
Importing catalog data
Importing usage data
Training a model
Consuming recommendations
Summary
Chapter 8. Querying Structured Data in a Natural Way
Tapping into academic content using the academic API
Setting up an example project
Interpreting natural language queries
Finding academic entities in query expressions
Calculating the distribution of attributes from academic entities
Entity attributes
Creating the backend using the Knowledge Exploration Service
Defining attributes
Adding data
Building the index
Understanding natural language
Local hosting and testing
Going for scale
Hooking into Microsoft Azure
Deploying the service
Answering FAQs using QnA Maker
Creating a knowledge base from frequently asked questions
Training the model
Publishing the model
Summary
Chapter 9. Adding Specialized Searches
Searching the web using the smart-house application
Preparing the application for web searches
Searching the web
Getting the news
News from queries
News from categories
Trending news
Searching for images and videos
Using a common user interface
Searching for images
Searching for videos
Helping the user with autosuggestions
Adding autosuggest to the user interface
Suggesting queries
Search commonalities
Languages
Pagination
Filters
Errors
Searching for visual content using Bing Visual Search
Sending a request
Receiving a response
Adding a custom search
Typical workflow
Summary
Chapter 10. Connecting the Pieces
Completing our smart-house application
Creating an intent
Updating the code
Real-life applications using Microsoft Cognitive Services
Uber
DutchCrafters
CelebsLike.me
Pivothead
Zero Keyboard
The common theme
Where to go from here
Summary
Appendix A. LUIS Entities
LUIS prebuilt entities
Appendix B. License Information
Video Frame Analyzer
OpenCvSharp3
Newtonsoft.Json
NAudio
Definitions
Grant of Rights
Index
A
B
C
D
E
F
G
H
I
K
L
M
N
O
P
Q
R
S
T
U
V
W
Z
更新时间：2021-08-13 15:40:55
完结共207章
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