Normalization Techniques in Deep Learning

Name: Normalization Techniques in Deep Learning
Brand: Springer, Berlin
SKU: 9783031145940
Price: 53.8 EUR
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Autor: Lei Huang

Jazyk:

Väzba: Pevná

Vydavateľ: Springer, Berlin

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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 - Pevná

Vydalo

2022

Stránok

110

EAN

9783031145940

Enbook ID

39467705

Vydavateľ

Springer, Berlin

Hmotnosť

398

Rozmery

168 x 240 x 13

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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Normalization Techniques in Deep Learning

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