Auf Lager:
1
Buch (Hardcover): Fachbuch
Normalization Techniques in Deep Learning
Produkt bewerten
Verlag:
Springer Verlag Unsere-Artikel-Nr.: P34840381
EAN: 9783032199904
Auf Lager:
1
Zustellung: Do, 13.08.2026
Versand: Kostenlos
-3.3 %
CHF 56.90
CHF 55.–
Beschreibung
This book surveys normalization techniques with a deep analysis in training deep neural networks. 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. The book also serves as a resource researchers, engineers, and students who are new to the field and need to understand and train DNNs. This Second Edition builds upon the original material with the addition of more recent proposed methods and expanded technical details for new normalization methods and network architectures tailored to specific tasks.
Spezifikationen
Sprache
- Englisch
Autor
- Lei Huang
Zielgruppe
- Professional/practitioner
Erscheinungsjahr
- 2026
Format
- Buch (Hardcover)
Anzahl Seiten
- 167