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