Deep Learning for Computer Vision with SAS

An Introduction

By: Robert Blanchard

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Paperback | 12 June 2020

At a Glance

Paperback
150 Pages

Dimensions(cm)
23.5 x 19.05 x 0.81

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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

Industry Reviews

"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

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