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- Leidėjas: IntechOpen
- Metai: 2011
- Puslapiai: 116
- ISBN-10: 9533076852
- ISBN-13: 9789533076850
- Formatas: 17 x 24.4 x 0.8 cm, kieti viršeliai
- Kalba: Anglų
- Extra -15 % nuolaida šiai knygai su kodu: ENG15
Recurrent Neural Networks for Temporal Data Processing (el. knyga) (skaityta knyga) | knygos.lt
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Aprašymas
The RNNs (Recurrent Neural Networks) are a general case of artificial neural networks where the connections are not feed-forward ones only. In RNNs, connections between units form directed cycles, providing an implicit internal memory. Those RNNs are adapted to problems dealing with signals evolving through time. Their internal memory gives them the ability to naturally take time into account. Valuable approximation results have been obtained for dynamical systems.
EXTRA 15 % nuolaida su kodu: ENG15
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- Leidėjas: IntechOpen
- Metai: 2011
- Puslapiai: 116
- ISBN-10: 9533076852
- ISBN-13: 9789533076850
- Formatas: 17 x 24.4 x 0.8 cm, kieti viršeliai
- Kalba: Anglų Anglų
The RNNs (Recurrent Neural Networks) are a general case of artificial neural networks where the connections are not feed-forward ones only. In RNNs, connections between units form directed cycles, providing an implicit internal memory. Those RNNs are adapted to problems dealing with signals evolving through time. Their internal memory gives them the ability to naturally take time into account. Valuable approximation results have been obtained for dynamical systems.
Atsiliepimai