Learning microsoft cognitive services : create intelligent apps with vision, speech, language, and knowledge capabilities using Microsoft Cognitive Services / Leif Larsen.

Format:

Book

Author/Creator:

Larsen, Leif, author.

Language:

English

Subjects (All):

Microsoft Visual studio.

Natural language processing (Computer science).

Physical Description:

1 online resource (363 pages) : illustrations, tables

Edition:

1st ed.

Place of Publication:

Birmingham, England ; Mumbai, [India] : Packt Publishing, 2017.

Biography/History:

Larsen Leif: Leif Larsen is a software engineer based in Norway. After earning a degree in computer engineering, he went on to work with the design and configuration of industrial control systems, for the most part, in the oil and gas industry. Over the last few years, he has worked as a developer, developing and maintaining geographical information systems, working with. NET technology. Today, he is working with a start-up, developing a brand new SaaS product. In his spare time, he develops mobile apps and explores new technologies to keep up with the high-paced tech world. You can find out more about him by checking out his blog, "Leif Larsen", and following him on Twitter (@leif_larsen) and LinkedIn (lhlarsen).

Summary:

Create intelligent apps with vision, speech, language, and knowledge capabilities using Microsoft Cognitive ServicesKey FeaturesExplore the capabilities of all 21 APIs released as part of the Cognitive Services platformBuild intelligent apps that combine the power of computer vision, speech recognition, and language processingGive your apps human-like cognitive intelligence with this hands-on guideBook DescriptionTake 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 practicesWhat you will learnAfter an introduction to Microsoft Cognitive Services and what it has to offer, you?ll learn about each of the APIs in depth. This includes using vision APIs for image analysis, speech APIs for text-to-speech conversions, knowledge and search APIs for adding real-world intelligence to apps, and much, much more.Who this book is forWho is this book for? ? .NET developers with some programming experience ? Those who know how to do basic programming tasks and navigate in Visual Studio ? No prior knowledge of artificial intelligence or machine learning required

Contents:

Cover

Copyright

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Table of Contents

Preface

Chapter 1: Getting Started with Microsoft Cognitive Services

Cognitive Services in action for fun and life changing purposes

Setting up boilerplate code

Detecting faces with the Face API

Overview of what we are dealing with

Vision

Computer Vision

Emotion

Face

Video

Speech

Bing Speech

Speaker Recognition

Custom Recognition

Language

Bing Spell Check

Language Understanding Intelligent Service (LUIS)

Linguistic Analysis

Text Analysis

Web Language Model

Knowledge

Academic

Entity Linking

Knowledge Exploration

Recommendations

Search

Bing Web Search

Bing Image Search

Bing Video Search

Bing News Search

Bing Autosuggest

Getting feedback on detected faces

Summary

Chapter 2: Analyzing Images to Recognize a Face

Learning what an image is about using 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

Chapter 3: Analyzing Videos

Knowing your mood using the Emotion API

Getting images from a web camera

Letting the smart-house know your mood

Diving into the Video API

Video operations as common code

Getting operation results

Wiring up execution in the ViewModel.

Detecting and tracking faces in videos

Detecting motion

Stabilizing shaky videos

Generating video thumbnails

Analyzing emotions in videos

Chapter 4: Letting Applications Understand Commands

Creating language-understanding models

Register an account and get a license key

Creating an application

Recognizing key data using entities

Understanding what the user wants using intents

Simplifying development using pre-built models

Pre-built applications

Training a model

Training and publishing the model

Connecting to the smart-house application

Model improvement through active usage

Visualizing performance

Resolving performance problems

Adding model features

Adding labeled utterances

Looking for incorrect utterance labels

Changing the schema

Active learning

Executing operations based on commands

Maintaining conversations from unclear utterances

Completing actions from intents

Action fulfillment

Chapter 5: Speak with Your Application

Converting text to audio and vice versa

Speaking to the application

Letting the application speak back

Audio output format

Error codes

Supported languages

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

Chapter 6: Understanding Text

Setting up a common core

New project

Web requests

Data contracts

Correcting spelling errors

Natural Language Processing using the Web Language Model

Breaking a word into several

Generating the next word in a sequence of words.

Learning if a word is likely to follow a sequence of words

Learning if certain words is likely to appear together

Extracting information through textual analysis

Detecting language

Extracting key phrases from text

Learning if a text is positive or negative

Exploring text using linguistic analysis

Introduction to linguistic analysis

Analyzing text from a linguistic viewpoint

Chapter 7: Extending Knowledge Based on Context

Linking entities based on context

Providing personalized recommendations

Creating a model

Importing catalog data

Importing usage data

Building a model

Consuming recommendations

Recommending items based on prior activities

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 from 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

Improving the model

Chapter 9: Adding Specialized Searches

Searching the Web from 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 auto suggestions

Adding Autosuggest to the user interface

Suggesting queries

Search commonalities

Languages

Pagination

Filters

Safe search

Freshness

Errors

Chapter 10: Connecting the Pieces

Connecting the pieces

Creating an intent

Updating the code

Executing actions from intents

Searching news on command

Describing news images

Real-life applications using Microsoft Cognitive Services

Uber

DutchCrafters

CelebsLike.me

Pivothead - wearable glasses

Zero Keyboard

The common theme

Where to go from here

Appendix A: LUIS Entities and Intents

LUIS pre-built intents

LUIS pre-built entities

Appendix B: Additional Information on Linguistic Analysis

Part-of-Speech Tags

Phrase types

Appendix C: License Information

Video Frame Analyzer

OpenCvSharp3

Newtonsoft.Json

NAudio

Definitions

Grant of Rights

Conditions and Limitations

Index.

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed April 6, 2017).

OCLC:

1491312244