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Generative Adversarial Neural Networks by Junquero González (8 results)
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Generative Adversarial Neural Networks Applied to Image Generation
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200239975 ISBN 13: 9786200239976
Language: English
Condition: New.
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Generative Adversarial Neural Networks Applied to Image Generation
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200239975 ISBN 13: 9786200239976
Language: English
US$ 54.59
Convert currencyUS$ 57.13 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Generative Adversarial Neural Networks Applied to Image Generation
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200239975 ISBN 13: 9786200239976
Language: English
US$ 115.38
Convert currencyUS$ 33.34 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 124 pages. 8.66x5.91x0.28 inches. In Stock.
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Generative Adversarial Neural Networks Applied to Image Generation
Published by LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6200239975 ISBN 13: 9786200239976
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 65.95
Convert currencyUS$ 26.82 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This project studies the theory behind generative models, (mainly Generative Adversary Networks) analyses their complexity and develops a practical implementation of such with limited resources. The book's contents begin with some initial paragraphs detailing the motivation behind the project, followed by an aggregate of all the research performed and ending with the report of all the experiments and observations from the training of some GAN models. 124 pp. Englisch.
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Generative Adversarial Neural Networks Applied to Image Generation
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200239975 ISBN 13: 9786200239976
Language: English
US$ 87.86
Convert currencyUS$ 8.67 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand.
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Generative Adversarial Neural Networks Applied to Image Generation
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200239975 ISBN 13: 9786200239976
Language: English
US$ 96.56
Convert currencyUS$ 11.60 shipping from Germany to U.S.A.Quantity: 4 available
Add to basketCondition: New. PRINT ON DEMAND.
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Generative Adversarial Neural Networks Applied to Image Generation
Published by LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6200239975 ISBN 13: 9786200239976
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 65.95
Convert currencyUS$ 69.97 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This project studies the theory behind generative models, (mainly Generative Adversary Networks) analyses their complexity and develops a practical implementation of such with limited resources. The book's contents begin with some initial paragraphs detailing the motivation behind the project, followed by an aggregate of all the research performed and ending with the report of all the experiments and observations from the training of some GAN models.Books on Demand GmbH, Überseering 33, 22297 Hamburg 124 pp. Englisch.
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Generative Adversarial Neural Networks Applied to Image Generation
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200239975 ISBN 13: 9786200239976
Language: English
US$ 66.74
Convert currencyUS$ 71.16 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This project studies the theory behind generative models, (mainly Generative Adversary Networks) analyses their complexity and develops a practical implementation of such with limited resources. The book's contents begin with some initial paragraphs detailing the motivation behind the project, followed by an aggregate of all the research performed and ending with the report of all the experiments and observations from the training of some GAN models.
