Deep Learning with Azure
Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform
Wee Hyong Tok author Mathew Salvaris author Danielle Dean author
Format:Paperback
Publisher:APress
Published:25th Aug '18
Currently unavailable, and unfortunately no date known when it will be back

This book provides a thorough introduction to deep learning on Azure, equipping data scientists with essential tools and techniques to innovate using AI.
In Deep Learning with Azure, readers are introduced to the transformative capabilities of Microsoft's AI Platform. This book serves as a comprehensive guide for data scientists and developers eager to harness the power of artificial intelligence in their projects. With the rapid advancements in deep learning algorithms and hardware, the need to integrate AI into business processes has become imperative. This book addresses the pressing question of how to effectively begin utilizing AI technologies in a practical manner.
Written by seasoned data scientists at Microsoft, Deep Learning with Azure focuses on the practical aspects of implementing deep learning solutions on the Azure platform. It offers insights into the available tools, infrastructure, and services that facilitate the development of intelligent applications. Readers will gain a solid understanding of how to leverage Azure's capabilities to create innovative solutions that meet the demands of today's data-driven landscape.
The book covers a range of topics, including pre-built AI capabilities like Computer Vision and OCR, as well as common deep learning models such as CNNs and GANs. With sample code and real-world examples, it guides readers through the process of training and operationalizing their models on Azure. This resource is particularly beneficial for professional data scientists looking to deepen their knowledge of deep learning and explore the vast possibilities presented by the Microsoft AI platform.
ISBN: 9781484236789
Dimensions: unknown
Weight: 480g
284 pages
1st ed.