Description: Normalization Techniques in Deep Learning by Lei Huang Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book presents and 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. Publisher Description 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. Author Biography Lei Huang, Ph.D., is an Associate Professor at Beihang University. His current research interests include normalization techniques involving methods, theories, and applications in training deep neural networks (DNNs). He also has wide interests in representation and optimization of deep learning theory and computer vision tasks. Dr. Huang serves as a reviewer for top-tier conferences and journals in machine learning and computer vision. Details ISBN 3031145976 ISBN-13 9783031145971 Title Normalization Techniques in Deep Learning Author Lei Huang Format Paperback Year 2023 Pages 110 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:158838644; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 72.16 USD
Location: Fairfield, Ohio
End Time: 2024-12-27T10:01:58.000Z
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Restocking Fee: No
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ISBN-13: 9783031145971
Book Title: Normalization Techniques in Deep Learning
Number of Pages: Xi, 110 Pages
Publication Name: Normalization Techniques in Deep Learning
Language: English
Publisher: Springer International Publishing A&G
Subject: Intelligence (Ai) & Semantics, General, Applied, Computer Vision & Pattern Recognition
Publication Year: 2023
Type: Textbook
Item Weight: 7.9 Oz
Subject Area: Mathematics, Computers, Science
Author: Lei Huang
Item Length: 9.4 in
Series: Synthesis Lectures on Computer Vision Ser.
Item Width: 6.6 in
Format: Trade Paperback