Deep Learning for Numerical Applications with SAS - Tapa blanda

Bequet, Henry

 
9781635266801: Deep Learning for Numerical Applications with SAS
Tapa blanda
ISBN 10: 1635266807 ISBN 13: 9781635266801
Editorial: SAS Institute, 2018

Sinopsis

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

Dive into deep learning! Machine learning and deep learning are ubiquitous in our homes and workplaces—from machine translation to image recognition and predictive analytics to autonomous driving. Deep learning holds the promise of improving many everyday tasks in a variety of disciplines. Much deep learning literature explains the mechanics of deep learning with the goal of implementing cognitive applications fueled by Big Data. This book is different. Written by an expert in high-performance analytics, Deep Learning for Numerical Applications with SAS® introduces a new field: Deep Learning for Numerical Applications (DL4NA). Contrary to deep learning, the primary goal of DL4NA is not to learn from data but to dramatically improve the performance of numerical applications by training deep neural networks.

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

This book is part of the SAS Press program.

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Acerca del autor

Henry Bequet is Director of High-Performance Computing and Machine Learning in the Financial Risk division of SAS. In that capacity, he leads the development of a high-performance solution that can run SAS code on thousands of CPU and GPU cores for advanced models that use techniques like Black-Scholes, Binomial Evaluation, and Monte-Carlo simulations. Henry has more than 35 years of industry experience and 15 years of high-performance analytics practice. He has published two books and several papers on server development and machine learning.

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Editorial
SAS Institute
Año de publicación
2018
Idioma
Inglés
ISBN 10 
1635266807
ISBN 13 
9781635266801
Encuadernación
Tapa blanda
Número de páginas
234
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

Friedensallee 273
Hamburg
22763
Alemania

Otras ediciones populares con el mismo título

9781642953565: Deep Learning for Numerical Applications with SAS (Hardcover edition)

Edición Destacada

ISBN 10:  1642953563 ISBN 13:  9781642953565
Editorial: SAS Institute, 2019
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