2012 Brazilian Symposium on Neural Networks 2012
DOI: 10.1109/sbrn.2012.9
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Hardware/Software Co-design Implementation of On-Chip Backpropagation

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Cited by 3 publications
(1 citation statement)
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“…Most of popular adaptation algorithms need information about dependence of cost function on weights changes (it is often represented by the Jacobian matrix with first-order partial derivatives) [2]. The exact level presenting the influence of several weights on output error is obtained mostly using propagation of the error through neural network [3]. The second group of training algorithms based on the second order derivatives of the cost function according to weights (represented by Hessian matrix).…”
Section: Introductionmentioning
confidence: 99%
“…Most of popular adaptation algorithms need information about dependence of cost function on weights changes (it is often represented by the Jacobian matrix with first-order partial derivatives) [2]. The exact level presenting the influence of several weights on output error is obtained mostly using propagation of the error through neural network [3]. The second group of training algorithms based on the second order derivatives of the cost function according to weights (represented by Hessian matrix).…”
Section: Introductionmentioning
confidence: 99%