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Kniha Normalization Techniques in Deep Learning Lei Huang

Normalization Techniques in Deep Learning

Autor: Lei Huang
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Springer, Berlin
Dostupnosť: Skladom u dodávateľa
Odosielame za 5-8 dní
53.84 €
This book presents and surveys normalization techniques with a deep analysis in training deep neural...

Informácie o knihe

Autor
Lei Huang
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2023
Stránok
110
EAN
9783031145971
Enbook ID
44205132
Vydavateľ
Springer, Berlin
Hmotnosť
208
Rozmery
168 x 240

Kompletný popis

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.

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