Items related to 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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Taschenbuch. Condition: 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. Seller Inventory # 9786200531292
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Deep learning : Artificial Neural Networks (ANN)
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200531293
ISBN 13: 9786200531292
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Taschenbuch. Condition: 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. Seller Inventory # 9786200531292
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Deep learning
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LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200531293
ISBN 13: 9786200531292
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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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Taschenbuch. Condition: 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. Seller Inventory # 9786200531292
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Deep learning | Artificial Neural Networks (ANN)
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ISBN 13: 9786200531292
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Taschenbuch. Condition: Neu. Deep learning | Artificial Neural Networks (ANN) | Ashraf Sharawy (u. a.) | Taschenbuch | 56 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200531292 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 118013535