Symmetric Neural Networks Theory
Author:   Seymour L Purvis
Publisher:   Scholastic Singapore
ISBN:  

9789810898106


Pages:   142
Publication Date:   13 March 2024
Format:   Paperback
Availability:   Available To Order   Availability explained
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Symmetric Neural Networks Theory


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Overview

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.

Full Product Details

Author:   Seymour L Purvis
Publisher:   Scholastic Singapore
Imprint:   Scholastic Singapore
Dimensions:   Width: 15.20cm , Height: 0.80cm , Length: 22.90cm
Weight:   0.200kg
ISBN:  

9789810898106


ISBN 10:   981089810
Pages:   142
Publication Date:   13 March 2024
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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