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Significados de backpropagation en inglés

ruso
метод обратного распространения ошибки
español
retropropagacion
catalán
retropropagació

Optimization algorithm for artificial neural networks.

Términos relacionados
retropropagacion
Sinónimos
Examples for "bp"
Examples for "bp"
1
The leads are taking indications of interest at 30bp area over mid-swaps.
Reuters
2
The books are open at guidance heard at mid-swaps less 6bp area.
Reuters
3
That put the new issue concession on the three-year at about 18bp.
Reuters
4
The note was initially marketed at 45bp area over three month Euribor.
Reuters
5
The issuer is marketing a five-year deal at 205bp area over mid-swaps.
Reuters
1
Beware of attaching too much meaning to the weights backprop finds, however.
The Master Algorithm
2
That's what happens to backprop, except it climbs mountains in hyperspace instead of 3-D.
The Master Algorithm
3
Then learn the connection weights using backprop, and your brand-new brain is ready to use.
The Master Algorithm
4
And with backprop we can learn the appropriate weights, resulting in a successful Nike prospect detector.
The Master Algorithm
5
This makes backpropagation-orsimply backprop-theconnectionists' master algorithm.
The Master Algorithm
Uso de backpropagation en inglés
1
This makes backpropagation-orsimply backprop-theconnectionists' master algorithm.
The Master Algorithm
2
Combining connectionism and evolutionism was fairly easy: just evolve the network structure and learn the parameters by backpropagation.
The Master Algorithm
3
To train SNNs with supervision, we propose an efficient on-chip training scheme approximating backpropagation algorithm suitable for hardware implementation.
Pubmed
4
The connectionists' master algorithm is backpropagation, which they use to figure out which neurons are responsible for which errors and adjust their weights accordingly.
The Master Algorithm
5
The aim of this study is to develop backpropagation neural networks (BPNN) for better prediction of ventilatory function in children and adolescents.
Pubmed
6
A three layer backpropagation neural network containing 400 input nodes, 20 intermediate nodes, and one output node was able to forms.
Pubmed
7
Backpropagation, as this algorithm is known, is phenomenally more powerful than the perceptron algorithm.
The Master Algorithm
8
Backpropagation is well suited to this problem because of its ability to efficiently learn nonlinear functions.
The Master Algorithm
9
Backpropagation is a form of gradient descent, which Alchemy uses to optimize the weights of a Markov logic network.
The Master Algorithm