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

Summary


In this chapter, you got a brief introduction to Microsoft Cognitive Services. We started off by creating a template project to easily create new projects for the coming chapters. We tried this template by creating an example project for this chapter. Then you learned how to detect faces in images by utilizing the Face API. From there, we took a quick tour of what Cognitive Services has to offer. We finished off by adding text-to-speech capabilities to our application by using the Bing Speech API.

The next chapter will go into more detail of the Vision part of the APIs. There you will learn how to analyze images using the Computer Vision API. You will dive more into the Face API and will learn how to detect emotions in faces by using the Emotion API. Some of this will be used to start building our smart-house application.