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Normalization Techniques in Deep Learning - Lei Huang

englanti
2022-10-09
68,05 € 90,73 €

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Toimitus 17-23 arkipäivässä

30 päivän palautusoikeus

¿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 beco ... Täydellinen kuvaus

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¿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.

Lisätietoja

Kirjoittaja Lei Huang
Julkaisija Springer Nature Switzerland
Series Synthesis Lectures on Computer Vision
Julkaisuvuosi 2022
Kannen tyyppi Kovakantinen
EAN 9783031145940
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Arvostelet: Normalization Techniques in Deep Learning
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68,05 € 90,73 €