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Learning microsoft cognitive services : use cognitive services APIs to add AI capabilities to your applications /

This book will introduce you to 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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Larsen, Leif
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing Ltd, 2018.
Edición:Third edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Cover; Title Page; Copyright; Packt Upshell; Contributors; Table of Contents; Preface; 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; Computer vision; Face; Video indexer; Content moderator; Custom vision service; Speech; Bing Speech; Speaker recognition; Translator speech API; Language; Bing Spell Check; Language Understanding Intelligent Service (LUIS); Text analytics; Translator Text API; Knowledge
  • Project Academic KnowledgeKnowledge exploration; Recommendations solution; QnA Maker; Project Custom Decision Service; Search; Bing Web Search; Bing Image Search; Bing Video Search; Bing News Search; Bing Autosuggest; Bing Visual Search; Bing Custom Search; Bing Entity 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 APIRetrieving 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; Creating a view; Adding person groups; Adding new persons; Associating faces with a person; Training the model; Additional functionality; 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 contentTypes of content moderation APIs; Image moderation; Text moderation; Moderation tools; Using the review tool; Other 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; Typical scenarios; Key concepts; Unlocking video insights using Video Indexer; How to use Video Indexer; Through a web portal; Video Indexer API; Summary; Chapter 4: Letting Applications Understand Commands; Creating language-understanding models
  • Creating an applicationRecognizing 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; Visualizing performance; Resolving performance problems; Active learning; Summary; Chapter 5: Speaking 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