Normalization Techniques in Deep Learning

Name: Normalization Techniques in Deep Learning
Brand: Springer, Berlin
SKU: 9783031145940
Price: 298.62 RON
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Autor: Lei Huang

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Legare: Copertă tare

Editura: Springer, Berlin

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

Informații despre carte

Autor

Lei Huang

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2022

Pagini

110

EAN

9783031145940

Enbook ID

39467705

Editura

Springer, Berlin

Greutate

398

Dimensiuni

168 x 240 x 13

Descriere completă

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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