|
|
|||
|
||||
Overview"""Architecting Invariance"" dives into a specific type of neural network architecture called permutation equivariant networks. These networks process sets of data, where the order of items doesn't matter. The book explores how these networks achieve a key property called permutation invariance, meaning they produce the same output regardless of how the input elements are shuffled. This allows the networks to be more efficient and generalize better on set-based data by focusing on the content rather than order. The book likely explains how these networks are designed and analyzes their capabilities for various tasks involving sets." Full Product DetailsAuthor: SanjayPublisher: Tredition Gmbh Imprint: Tredition Gmbh Dimensions: Width: 15.20cm , Height: 0.80cm , Length: 22.90cm Weight: 0.213kg ISBN: 9783384262165ISBN 10: 3384262166 Pages: 140 Publication Date: 15 June 2024 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
||||