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Normalization Techniques in Deep Learning

By (author) Lei Huang

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normal price: R 2,523.95

Price: R 2,271.95

| book description |

​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.

| product details |



Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | Springer International Publishing AG
Published date | 10 Oct 2023
Language |
Format | Paperback / softback
Pages | 110
Dimensions | 240 x 168 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0311-4597-1
Readership Age |
BISAC | computers / computer vision

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Survive the AI Apocalypse: A guide for solutionists

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was: R 340.95
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Enquiries only

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Paperback / softback
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was: R 220.95
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was: R 295.95
now: R 265.95
Stock is usually dispatched in 6-12 days from date of order
 
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