Normalization Techniques in Deep Learning

Name: Normalization Techniques in Deep Learning
Brand: Springer, Berlin
SKU: 9783031145940
Price: 1231 CZK
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Autor: Lei Huang

Jazyk:

Vazba: Pevná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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This book presents and surveys normalization techniques with a deep analysis in training deep neural...

Informace o knize

Autor

Lei Huang

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2022

Stránek

110

EAN

9783031145940

Enbook ID

39467705

Vydavatel

Springer, Berlin

Hmotnost

398

Rozměry

168 x 240 x 13

Kompletní 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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Normalization Techniques in Deep Learning

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