| 書目名稱 | Deep Learning with Azure | | 副標題 | Building and Deployi | | 編輯 | Mathew Salvaris,Danielle Dean,Wee Hyong Tok | | 視頻video | http://file.papertrans.cn/265/264633/264633.mp4 | | 概述 | Provides a solid introduction to deep learning concepts, trends, and opportunities.Shows how to perform machine learning and deep learning using the latest tools and technologies on Microsoft AI.Teach | | 圖書封面 |  | | 描述 | Get up-to-speed with Microsoft‘s AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer..Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of .should. I build AI into my business, but more about .where. do I begin and how do I get started with AI?.Written by expert data scientists at Microsoft,?.Deep Learning with the Microsoft AI Platform.?helps you with the how-to of doing deep learning on Azure and leveraging deep learning to create innovative and intelligent solutions. Benefit from guidance on where to begin your AI adventure, and learn how the cloud provides you with all the tools, infrastructure, and services you need to do AI..What You‘llLearn.Become familiar with the tools, infrastructure, and services available for deep learning on Microsoft Azure such as Azure Machine Learning services and Batch AI.Use pre-built AI capabilities (Computer Vision, OCR, gender, emotion, landmark detection, and more).Understand the common deep learning models, including convolution | | 出版日期 | Book 2018 | | 關鍵詞 | Azure AI Platform; Microsoft Azure; Data Science; Deep Learning; Machine Learning; Wee Hyong Tok; Danielle | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-3679-6 | | isbn_softcover | 978-1-4842-3678-9 | | isbn_ebook | 978-1-4842-3679-6 | | copyright | Mathew Salvaris, Danielle Dean, Wee Hyong Tok 2018 |
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