Book Image

Learning Microsoft Cognitive Services - Second Edition

By : Leif Larsen
Book Image

Learning Microsoft Cognitive Services - Second Edition

By: Leif Larsen

Overview of this book

Microsoft has revamped its Project Oxford to launch the all new Cognitive Services platform-a set of 30 APIs to add speech, vision, language, and knowledge capabilities to apps. This book will introduce you to 24 of the APIs released as part of Cognitive Services platform and show you how to leverage their capabilities. More importantly, you'll see how the power of these APIs can be combined to build real-world apps that have cognitive capabilities. The book is split into three sections: computer vision, speech recognition and language processing, and knowledge and search. You will be taken through the vision APIs at first as this is very visual, and not too complex. The next part revolves around speech and language, which are somewhat connected. The last part is about adding real-world intelligence to apps by connecting them to Knowledge and Search APIs. By the end of this book, you will be in a position to understand what Microsoft Cognitive Service can offer and how to use the different APIs.
Table of Contents (19 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Learning what an image is about using the Computer Vision API


The Computer Vision API allows us to process an image and retrieve information about it. It relies on advanced algorithms to analyze the content of the image in different ways, based on our needs.

Throughout this section, we will learn how to take advantage of this API. We will look at the different ways to analyze an image through standalone examples. Some of the features we will cover will also be incorporated into our end-to-end application in a later chapter.

Calling any of the APIs will return one of the following response codes:

Code

Description

200

Information of the extracted features in JSON format

400

Typically, this means bad request. It may be an invalid image URL, too small or too large an image, an invalid image format, or otherwise errors around the request body

415

Unsupported media type

500

Possible errors may be a failure to process the image, image processing timed out, or an internal server error

Setting up a chapter example...