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Normalization Techniques In Deep Learning Lei Huang

  • SKU: BELL-47214914
Normalization Techniques In Deep Learning Lei Huang
$ 31.00 $ 45.00 (-31%)

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Normalization Techniques In Deep Learning Lei Huang instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 2.8 MB
Pages: 116
Author: Lei Huang
ISBN: 9783031145940, 3031145941
Language: English
Year: 2022

Product desciption

Normalization Techniques In Deep Learning Lei Huang by Lei Huang 9783031145940, 3031145941 instant download after payment.

​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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