Deep Learning for Numerical Applications with SAS (Hardcover edition)

Foreword by Oliver Schabenberger, PhD
Executive Vice President, Chief Operating Officer and Chief Technology Officer SAS

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

• Use deep learning in SAS
• Speed up their analytics using deep learning
• Easily write highly parallel programs using the many task computing paradigms