Deep Learning for Computer Vision with SAS

An Introduction

Robert Blanchard

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English

SAS Institute
12 June 2020

Enterprise software; Pattern recognition; Computer vision

Discover deep learning and computer vision with SAS! Deep Learning for Computer Vision with SAS(R): An Introduction introduces the pivotal components of deep learning. Readers will gain an in-depth understanding of how to build deep feedforward and convolutional neural networks, as well as variants of denoising autoencoders. Transfer learning is covered to help readers learn about this emerging field. Containing a mix of theory and application, this book will also briefly cover methods for customizing deep learning models to solve novel business problems or answer research questions. SAS programs and data are included to reinforce key concepts and allow readers to follow along with included demonstrations.

Readers will learn how to:

Define and understand deep learning

Build models using deep learning techniques and SAS Viya

Apply models to score (inference) new data

Modify data for better analysis results

Search the hyperparameter space of a deep learning model

Leverage transfer learning using supervised and unsupervised methods

By: Robert Blanchard
Imprint: SAS Institute
Dimensions: Height: 235mm, Width: 191mm, Spine: 8mm
Weight: 268g
ISBN: 9781642959154
ISBN 10: 1642959154
Pages: 150
Publication Date: 12 June 2020
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

Robert Blanchard is a Senior Data Scientist at SAS where he builds end-to-end artificial intelligence applications. He also researches, consults, and teaches machine learning with an emphasis on deep learning and computer vision for SAS. Robert has authored several professional courses on topics including neural networks, deep learning, and optimization modeling. Before joining SAS, Robert worked under the Senior Vice Provost at North Carolina State University, where he built models pertaining to student success, faculty development, and resource management. While working at North Carolina State University, Robert also started a private analytics company that focused on predicting future home sales. Prior to working in academia, Robert was a member of the research and development group on the Workforce Optimization team at Travelers Insurance. His models at Travelers focused on forecasting and optimizing resources. Robert graduated with a master's degree in Business Analytics and Project Management from the University of Connecticut and a master's degree in Applied and Resource Economics from East Carolina University.

Reviews for Deep Learning for Computer Vision with SAS: An Introduction

"""This book is a fantastic journey through the relatively new field of computer vision and is highly recommended to anyone interested in learning about this topic."" Chris Battiston Research Data Analyst Women's College Hospital"