Deep Learning with Azure

Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform

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Éditeur :

Apress


Paru le : 2018-08-24



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Description


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 convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs) with sample code and understand how the field is evolving
Discover the options for training and operationalizing deep learning models on Azure



Who This Book Is For



Professional 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.

Pages
284 pages
Collection
n.c
Parution
2018-08-24
Marque
Apress
EAN papier
9781484236789
EAN PDF
9781484236796

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
7987 Ko
Prix
66,05 €
EAN EPUB
9781484236796

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
8899 Ko
Prix
66,05 €

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