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Normalization Techniques in Deep Learning (Synthesis Lectures on Computer Vision) book cover by Lei Huang
Hardcover

Normalization Techniques in Deep Learning (Synthesis Lectures on Computer Vision)

by Lei Huang

$52.79 / copy at 25+ copies As low as $51.59 at 100+Your best volume price

Hardcover · 110 pages Springer International Publishing · 2022

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Hardcover
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About the book

Normalization Techniques in Deep Learning (Synthesis Lectures on Computer Vision)

​This book presents and surveys normalization techniques with a deep analysis in training deep neural networks.  In addition, the author provides technical details in designing new normalization methods and network architectures tailored to specific tasks.  Normalization methods can improve the training stability, optimization efficiency, and generalization ability of deep neural networks (DNNs) and have become basic components in most state-of-the-art DNN architectures.  The author provides guidelines for elaborating, understanding, and applying normalization methods.  This book is ideal for readers working on the development of novel deep learning algorithms and/or their applications to solve practical problems in computer vision and machine learning tasks.  The book also serves as a resource researchers, engineers, and students who are new to the field and need to understand and train DNNs.


The book, Normalization Techniques in Deep Learning (Synthesis Lectures on Computer Vision) [Bulk, Wholesale, Quantity] ISBN#9783031145940 in Hardcover by Lei Huang may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Springer International Publishing
Author
Lei Huang
Format
Hardcover
Published
Oct 9, 2022
ISBN-13
9783031145940
Pages
110
Printing
Printed on demand
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Normalization Techniques in Deep Learning (Synthesis Lectures on Computer Vision) in bulk: pricing

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CopiesPrice per copyYou save
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50 – 99 $52.19 13% off list
100+ $51.59 14% off list
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