Deep Learning for Numerical Applications with SAS (Hardcover edition) Contributor(s): Bequet, Henry (Author) |
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ISBN: 1642953563 ISBN-13: 9781642953565 Publisher: SAS Institute
Binding Type: Hardcover - See All Available Formats & Editions Published: August 2019 |
Additional Information |
BISAC Categories: - Computers | Mathematical & Statistical Software - Computers | Enterprise Applications - General |
Physical Information: 0.56" H x 7.5" W x 9.25" L (1.36 lbs) 234 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Foreword by Oliver Schabenberger, PhD Deep Learning for Numerical Applications with SAS presents deep learning concepts in SAS along with step-by-step techniques that allow you to easily reproduce the examples on your high-performance analytics systems. It also discusses the latest hardware innovations that can power your SAS programs: from many-core CPUs to GPUs to FPGAs to ASICs. This book assumes the reader has no prior knowledge of high-performance computing, machine learning, or deep learning. It is intended for SAS developers who want to develop and run the fastest analytics. In addition to discovering the latest trends in hybrid architectures with GPUs and FPGAS, readers will learn how to
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