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Symmetric Neural Networks Theory

Seymour L Purvis

$47.95   $41.13

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English
Scholastic Singapore
13 March 2024
Symmetric functions, which take as input an unordered, fixed-size s et, find practical application in myriad physical settings based on indistinguishable points or particles, and are also used as intermediate building blocks to construct networks with other invariances. Symmetric functions

are known to be universally representable by neural networks that enforce permutation invariance. However the theoretical tools that characterize the approximation, optimization and generalization of typical networks fail to adequately characterize architectures that enforce invariance.
By:  
Imprint:   Scholastic Singapore
Country of Publication:   Singapore
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 8mm
Weight:   200g
ISBN:   9789810898106
ISBN 10:   981089810X
Pages:   142
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

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