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Avançado
Artigos
Capa

Normalization Techniques in Deep Learning

HUANG, LEI
SPRINGER
10 / 2023
9783031145971
978-30-3114-597-1
Inglês
Synthesis Lectures on Computer Vision
Ingles
Inteligencia artificial

Sinopse

This book presents and surveys normalization techniques with a deep analysis in training deep neural networks.nbsp; In addition, the author provides technical details in designing new normalization methods and network architectures tailored to specific tasks.nbsp; 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.nbsp; The author provides guidelines for elaborating, understanding, and applying normalization methods.nbsp; 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.nbsp; The book also serves as a resource researchers, engineers, and students who are new to the field and need to understand and train DNNs.