A highly efficient implementation of a backpropagation learning algorithm using matrix ISA
BackPropagation (BP) is the most famous learning algorithm for Artificial Neural Networks (ANN). BP has received intensive research efforts to exploit its parallelism in order to reduce the training time for complex problems. A modified version of BP based on matrix–matrix multiplication was propose...
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Veröffentlicht in: | Journal of parallel and distributed computing 2008-07, Vol.68 (7), p.949-961 |
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Format: | Artikel |
Sprache: | eng |
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