PVM-based training of large neural architectures

A methodology for parallelizing neural network training algorithms is described, based on the parallel evaluation of the error function and gradient using the parallel virtual machine (PVM). PVM is an integrated set of software tools and libraries that emulates a general-purpose, flexible, heterogen...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Plagianakos, V.P., Magoulas, G.D., Nousis, N.K., Vrahatis, M.N.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial intelligence Artificial neural networks Computer architecture Computer errors Equations Information systems Mathematics Neurons Testing Virtual machining
Online-Zugang:	Volltext bestellen
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