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Verlag: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031295579 ISBN 13: 9783031295577
Sprache: Englisch
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Paperback. Zustand: new. Paperback. This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least three layers that must be established together with cells, one of which is input, the other is output, and the third is a hidden (intermediate) layer. For this, the author states, it is necessary to develop an architecture that will not model mathematical rules but only the action and response variables that control the event and the reactions that may occur within it. The book explains the reasons and necessity of each ANN model, considering the similarity to the previous methods and the philosophical - logical rules. This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Verlag: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031295579 ISBN 13: 9783031295577
Sprache: Englisch
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Paperback. Zustand: new. Paperback. This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least three layers that must be established together with cells, one of which is input, the other is output, and the third is a hidden (intermediate) layer. For this, the author states, it is necessary to develop an architecture that will not model mathematical rules but only the action and response variables that control the event and the reactions that may occur within it. The book explains the reasons and necessity of each ANN model, considering the similarity to the previous methods and the philosophical - logical rules. This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. 2023rd edition NO-PA16APR2015-KAP.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 681 pages. 9.25x6.10x1.77 inches. In Stock.
Verlag: Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031295544 ISBN 13: 9783031295546
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
EUR 153,73
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least three layers that must be established together with .
Verlag: Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031295579 ISBN 13: 9783031295577
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
EUR 153,73
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In den WarenkorbKartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least three layers that must be established together with .
Verlag: Springer, Berlin, Springer International Publishing, Springer, 2024
ISBN 10: 3031295579 ISBN 13: 9783031295577
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least three layers that must be established together with cells, one of which is input, the other is output, and the third is a hidden (intermediate) layer. For this, the author states, it is necessary to develop an architecture that will not model mathematical rules but only the action and response variables that control the event and the reactions that may occur within it. The book explains the reasons and necessity of each ANN model, considering the similarity to the previous methods and the philosophical - logical rules. 661 pp. Englisch.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 252,00
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Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND.