Huang, Lei
Normalization Techniques in Deep Learning (Synthesis Lectures on Computer Vision)
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- ISBN 13:
- 9783031145971
- author:
- Huang, Lei
- format:
- Paperback
- publisher:
- Springer
- language:
- English
- Publication Year:
- 2023
- Pages:
- 110
- Dimensions:
- 24.4 x 17 x 0.7 centimetres (0.2
- Genre:
- Computers, Graphics & Design, General, showXmasDeliveryEgiftMessage"":0
- Condition:
- New
- Availability:
- Item usually sent within 15 working days
Description
Normalization Techniques in Deep Learning by Lei Huang This comprehensive guide explores the role of normalization techniques in training deep neural networks. With a focus on improving stability, optimization efficiency, and generalization ability, the author delves into designing new normalization methods and network architectures tailored to specific tasks. Ideal for developers working on novel deep learning algorithms or those looking to apply normalization methods to practical problems in computer vision and machine learning, this book provides valuable insights and guidelines for elaborating, understanding, and applying these techniques.
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