Normalization Techniques in Deep Learning

Language: English

Published by Springer-Verlag Gmbh Jul 2026, 2026

3032199905 / 9783032199904

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Neuware -This book surveys normalization techniques with a deep analysis in training deep neural networks. 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. The book also serves as a resource researchers, engineers, and students who are new to the field and need to understand and train DNNs. This Second Edition builds upon the original material with the addition of more recent proposed methods and expanded technical details for new normalization methods and network architectures tailored to specific tasks.Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg 167 pp. Englisch.…

Seller Inventory # 9783032199904

Title
Normalization Techniques in Deep Learning
Author
Lei Huang
Publisher
Springer-Verlag Gmbh Jul 2026
Publication year
2026
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3032199905
ISBN 13
9783032199904
Edition
2nd Edition
Item weight
487 grams
Dimensions
246x173x16 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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