9786139894710 - person identification system using handwritten signatures by ann: a neural network perspective di rane, jayesh (6 risultati)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 72,57
EUR 11,70 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock.
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 36,35
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Taschenbuch. Condizione: Neu. Person Identification System using Handwritten signatures by ANN | A Neural Network Perspective | Jayesh Rane | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139894710 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabr…ück, mail[at]preigu[dot]de | Anbieter: preigu.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 39,90
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We know that computers are better than people at crunching series of numbers, but what about tasks that are more complex How do you teach a computer what a cat looks like Or how to drive a car Or how to play a complex strategy game… Or make predictions about the stock market These are some of the most difficult tasks in artificial intelligence, far outstripping the capabilities of normal machine learning techniques. In these cases, computer scientists turn to neural networks. What sets neural networks apart from other machine learning algorithms is that they make use of an architecture inspired by the neurons in the human brain. These networks turn out to be well-suited to modeling high-level abstractions across a wide array of disciplines and industries. 56 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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EUR 34,25
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rane JayeshProf. Jayesh Rane is working as a assistant professor in Electronics and Telecommunication Engineering Department. He is perusing his Ph.D in electronics and completed his M.Tech in Communic…ation Engineering. Artificial In.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 39,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -We know that computers are better than people at crunching series of numbers, but what about tasks that are more complex How do you teach a computer what a cat looks like Or how to drive a car Or how to play a complex strategy game Or…make predictions about the stock market These are some of the most difficult tasks in artificial intelligence, far outstripping the capabilities of normal machine learning techniques. In these cases, computer scientists turn to neural networks. What sets neural networks apart from other machine learning algorithms is that they make use of an architecture inspired by the neurons in the human brain. These networks turn out to be well-suited to modeling high-level abstractions across a wide array of disciplines and industries.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 40,89
EUR 60,51 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - We know that computers are better than people at crunching series of numbers, but what about tasks that are more complex How do you teach a computer what a cat looks like Or how to drive a car Or how to play a complex strategy game Or m…ake predictions about the stock market These are some of the most difficult tasks in artificial intelligence, far outstripping the capabilities of normal machine learning techniques. In these cases, computer scientists turn to neural networks. What sets neural networks apart from other machine learning algorithms is that they make use of an architecture inspired by the neurons in the human brain. These networks turn out to be well-suited to modeling high-level abstractions across a wide array of disciplines and industries.
