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Neural Network Programming With Java: Simple Guide On Neural Networks
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Shetty Publishers
Symmetric Neural Networks Theory
Product Code:
9789810898106
ISBN13:
9789810898106
Condition:
New
$29.00
$26.66
Sale 8%
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.
| Author: Seymour L Purvis |
| Publisher: Shetty Publishers |
| Publication Date: Mar 13, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 981089810X |
| ISBN-13: 9789810898106 |
Symmetric Neural Networks Theory
$29.00
$26.66
Sale 8%
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.
| Author: Seymour L Purvis |
| Publisher: Shetty Publishers |
| Publication Date: Mar 13, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 981089810X |
| ISBN-13: 9789810898106 |
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