Articles liés à Deep learning: Artificial Neural Networks (ANN)
Synopsis
Deep learning is a hot research topic these days. Neural networks are the workhorses of deep learning. In this research the basics of neural networks were studied. ANNs may be defined as structures comprised of densely interconnected adaptive simple processing elements (called artificial neurons or nodes) that are capable of performing massively parallel computations for data processing and knowledge representation. Definition of artificial neural network was mentioned , design of neural network was discussed, learning of neural network was studied, the most popular types of neural net- worksuch as Hopfield networks, Adaptive resonance theory (ART) networks, Kohonen networks, Backpropagation networks , Recurrent networks, Counter propagation networks and Radial basis function (RBF) networks were discussed.Also General issues in ANN development were studied.
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Deep learning
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LAP LAMBERT Academic Publishing Jan 2020, 2020
ISBN 10 : 6200531293
ISBN 13 : 9786200531292
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Deep learning is a hot research topic these days. Neural networks are the workhorses of deep learning. In this research the basics of neural networks were studied. ANNs may be defined as structures comprised of densely interconnected adaptive simple processing elements (called artificial neurons or nodes) that are capable of performing massively parallel computations for data processing and knowledge representation. Definition of artificial neural network was mentioned , design of neural network was discussed, learning of neural network was studied, the most popular types of neural net- worksuch as Hopfield networks, Adaptive resonance theory (ART) networks, Kohonen networks, Backpropagation networks , Recurrent networks, Counter propagation networks and Radial basis function (RBF) networks were discussed.Also General issues in ANN development were studied. 56 pp. Englisch. N° de réf. du vendeur 9786200531292
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Deep learning
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LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6200531293
ISBN 13 : 9786200531292
Neuf
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Deep learning : Artificial Neural Networks (ANN)
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6200531293
ISBN 13 : 9786200531292
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep learning is a hot research topic these days. Neural networks are the workhorses of deep learning. In this research the basics of neural networks were studied. ANNs may be defined as structures comprised of densely interconnected adaptive simple processing elements (called artificial neurons or nodes) that are capable of performing massively parallel computations for data processing and knowledge representation. Definition of artificial neural network was mentioned , design of neural network was discussed, learning of neural network was studied, the most popular types of neural net- worksuch as Hopfield networks, Adaptive resonance theory (ART) networks, Kohonen networks, Backpropagation networks , Recurrent networks, Counter propagation networks and Radial basis function (RBF) networks were discussed.Also General issues in ANN development were studied. N° de réf. du vendeur 9786200531292
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Deep learning
Edité par
LAP LAMBERT Academic Publishing Jan 2020, 2020
ISBN 10 : 6200531293
ISBN 13 : 9786200531292
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Deep learning is a hot research topic these days. Neural networks are the workhorses of deep learning. In this research the basics of neural networks were studied. ANNs may be defined as structures comprised of densely interconnected adaptive simple processing elements (called artificial neurons or nodes) that are capable of performing massively parallel computations for data processing and knowledge representation. Definition of artificial neural network was mentioned , design of neural network was discussed, learning of neural network was studied, the most popular types of neural net- worksuch as Hopfield networks, Adaptive resonance theory (ART) networks, Kohonen networks, Backpropagation networks , Recurrent networks, Counter propagation networks and Radial basis function (RBF) networks were discussed.Also General issues in ANN development were studied.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. N° de réf. du vendeur 9786200531292
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