Książka Normalization Techniques in Deep Learning Lei Huang

Normalization Techniques in Deep Learning

Autor: Lei Huang
Język: Angielski
Oprawa: Twarda
Wydawca: Springer, Berlin
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
228.43
This book presents and surveys normalization techniques with a deep analysis in training deep neural...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2022
strony
110
EAN
9783031145940
Enbook ID
39467705
Waga
398
Wymiary
168 x 240 x 13

Pełny opis

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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