Cognitive Computing Recipes: Artificial Intelligence Solutions Using Microsoft Cognitive Services and TensorFlow

Adnan Masood, Adnan Hashmi

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商品描述

Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes deep learning and machine learning accessible to everyday developers, by providing a combination of tools such as cognitive services APIs, machine learning platforms, and libraries.
 
Along with an overview of the contemporary technology landscape, Machine Learning and Deep Learning with Cognitive Computing Recipes covers the business case for machine learning and deep learning. Covering topics such as digital assistants, computer vision, text analytics, speech, and robotics process automation this book offers a comprehensive toolkit that you can apply quickly and easily in your own projects. With its focus on Microsoft Cognitive Services offerings, you’ll see recipes using multiple different environments including TensowFlow and CNTK to give you a broader perspective of the deep learning ecosystem. 
 
What You Will Learn
  • Build production-ready solutions using Microsoft Cognitive Services APIs
  • Apply deep learning using TensorFlow and Microsoft Cognitive Toolkit (CNTK)
  • Solve enterprise problems in natural language processing and computer vision 
  • Discover the machine learning development life cycle – from formal problem definition to deployment at scale
Who This Book Is For
 
Software engineers and enterprise architects who wish to understand machine learning and deep learning by building applications and solving real-world business problems. 
 

商品描述(中文翻譯)

解決您的人工智慧和機器學習問題,使用完整且真實的程式碼範例。本書以問題解決的方式,讓深度學習和機器學習對於日常開發者來說更加易於理解,提供了認知服務 API、機器學習平台和函式庫等工具的組合。

除了對當代技術景觀的概述,《機器學習和深度學習與認知計算食譜》還涵蓋了機器學習和深度學習的商業案例。本書涵蓋了數位助理、電腦視覺、文字分析、語音和機器人流程自動化等主題,提供了一個全面的工具包,您可以快速且輕鬆地應用於自己的專案中。由於重點放在微軟認知服務的提供上,您將看到使用多種不同環境(包括TensorFlow和CNTK)的食譜,以便更全面地了解深度學習生態系統。

您將學到什麼

- 使用微軟認知服務 API 構建可投入生產的解決方案
- 使用TensorFlow和微軟認知工具包(CNTK)應用深度學習
- 解決自然語言處理和電腦視覺等企業問題
- 探索機器學習開發生命週期 - 從正式問題定義到大規模部署

本書適合對象

希望通過構建應用程序並解決實際業務問題來了解機器學習和深度學習的軟體工程師和企業架構師。