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Normalization Techniques in Deep Learning

Name: Normalization Techniques in Deep Learning
Brand: Springer, Berlin
SKU: 50904357
Price: 42.19 EUR
Availability: PreOrder
Author: Lei Huang
ISBN: 9783032199904

DE

Lei Huang

Language

English

Book Hardback

Libristo code: 50904357

Publishers Springer, Berlin, April 2026

This book surveys normalization techniques with a deep analysis in training deep neural networks. No... Full description

Libristo code: 50904357

103 b

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42.19 € VAT included

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Expected 31. 05. 2026

Delivery to Austria

30-day return policy

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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.