bokomslag Normalization Techniques in Deep Learning
Data & IT

Normalization Techniques in Deep Learning

Lei Huang

Inbunden

839:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 10-15 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

Andra format:

  • 110 sidor
  • 2022
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.
  • Författare: Lei Huang
  • Format: Inbunden
  • ISBN: 9783031145940
  • Språk: Engelska
  • Antal sidor: 110
  • Utgivningsdatum: 2022-10-09
  • Förlag: Springer International Publishing AG