InforLorV4, Main, Merge, bibRecord, 00A910

Correctness of the FPNA neural paradigm

Identifieur interne : 00A910 ( Main/Merge ); précédent : 00A909; suivant : 00A911

Correctness of the FPNA neural paradigm

Auteurs : Bernard Girau [France]

Source :

RBID : Hal:inria-00099071

Descripteurs français

mix :
- deadlock, digital hardware, interblocage, matériel numérique, neural networks, réseaux de neurones, terminaison, termination.

Abstract

Neural networks are usually considered as naturally parallel computing models. But the number of operators and the complex connection graphs of standard neural models can not be handled by digital hardware devices. A new theoretical and practical framework allows to reconcile simple hardware topologies with complex neural architectures: Field Programmable Neural Arrays (FPNA) lead to powerful neural architectures that are easy to map onto digital hardware, thanks to a simplified topology and an original data exchange scheme. This report describes the basic principles of the FPNA paradigm. Formal definitions are introduced and illustrated. Two computation methods for feedforward FPNAs are introduced. The proof of their correctness is sketched.

Url:

https://hal.inria.fr/inria-00099071

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 001968
to stream Hal, to step Curation: 001968
to stream Hal, to step Checkpoint: 006280

Links to Exploration step

Hal:inria-00099071

Le document en format XML

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<front><div type="abstract" xml:lang="en">Neural networks are usually considered as naturally parallel computing models. But the number of operators and the complex connection graphs of standard neural models can not be handled by digital hardware devices. A new theoretical and practical framework allows to reconcile simple hardware topologies with complex neural architectures: Field Programmable Neural Arrays (FPNA) lead to powerful neural architectures that are easy to map onto digital hardware, thanks to a simplified topology and an original data exchange scheme. This report describes the basic principles of the FPNA paradigm. Formal definitions are introduced and illustrated. Two computation methods for feedforward FPNAs are introduced. The proof of their correctness is sketched.</div>
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Correctness of the FPNA neural paradigm

Correctness of the FPNA neural paradigm

Source :

Descripteurs français

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri