Normalization Techniques in Deep Learning - Synthesis Lectures on Computer Vision - Lei Huang - Books - Springer Nature Switzerland AG - 9783032199904 - June 12, 2026
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Lei Huang
Normalization Techniques in Deep Learning - Synthesis Lectures on Computer Vision Second Edition 2026 edition

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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.

Media Books     Hardcover Book   (Book with hard spine and cover)
To be released June 12, 2026
ISBN13 9783032199904
Publishers Springer Nature Switzerland AG
Pages 167
Dimensions 150 × 220 × 20 mm   ·   369 g   (Weight (estimated))

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