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Deep Learning with Azure 2018 Edition at Meripustak

Deep Learning with Azure 2018 Edition by Mathew Salvaris, Danielle Dean, Wee Hyong Tok , Apress

Books from same Author: Mathew Salvaris, Danielle Dean, Wee Hyong Tok

Books from same Publisher: Apress

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  • General Information  
    Author(s)Mathew Salvaris, Danielle Dean, Wee Hyong Tok
    PublisherApress
    ISBN9781484236789
    Pages284
    BindingPaperback
    LanguageEnglish
    Publish YearOctober 2018

    Description

    Apress Deep Learning with Azure 2018 Edition by Mathew Salvaris, Danielle Dean, Wee Hyong Tok

    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'll LearnBecome familiar with the tools, infrastructure, and services available for deep learning on Microsoft Azure such as Azure Machine Learning services and Batch AIUse pre-built AI capabilities (Computer Vision, OCR, gender, emotion, landmark detection, and more)Understand the common deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs) with sample code and understand how the field is evolvingDiscover the options for training and operationalizing deep learning models on AzureWho This Book Is ForProfessional data scientists who are interested in learning more about deep learning and how to use the Microsoft AI platform. Some experience with Python is helpful.



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