Normalization Techniques in Deep Learning

Name: Normalization Techniques in Deep Learning
Brand: Springer, Berlin
SKU: 9783031145940
Price: 56.78 EUR
Availability: InStock

Автор: Lei Huang

Език:

Корици: С твърди корици

Издател: Springer, Berlin

Наличност: Външен склад

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56.78 € 111.05 лв

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

Информация за книгата

Автор

Lei Huang

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2022

страници

110

EAN

9783031145940

Enbook ID

39467705

Издател

Springer, Berlin

Теглоt

398

Размери

168 x 240 x 13

Пълно описание

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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Пълно описание

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