Da: HPB-Red, Dallas, TX, U.S.A.
Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
EUR 9,65
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Da: Bahamut Media, Reading, Regno Unito
EUR 10,14
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Condizione: New.
Paperback. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 31,28
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Paperback or Softback. Condizione: New. Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning. Book.
Da: Chiron Media, Wallingford, Regno Unito
EUR 28,43
Quantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 30,51
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Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 34,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 71,01
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Aggiungi al carrelloCondizione: New. In.
Hardcover. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Da: ChouetteCoop, Kervignac, Francia
EUR 33,74
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Used: Good. Occasion - Bon Etat - Artificial intelligence engines : A tutorial introduction to the mathematics of deep learning (2019) - Grand Format.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 30,53
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 36,21
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 299.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 84,83
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 434.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 42,96
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The brain has always had a fundamental advantage over conventional computers: it can learn. However, a new generation of artificial intelligence algorithms, in the form of deep neural networks, is rapidly eliminating that advantage. Deep neural networks rely on adaptive algorithms to master a wide variety of tasks, including cancer diagnosis, object recognition, speech recognition, robotic control, chess, poker, backgammon and Go, at super-human levels of performance.In this richly illustrated book, key neural network learning algorithms are explained informally first, followed by detailed mathematical analyses. Topics include both historically important neural networks (e.g. perceptrons), and modern deep neural networks (e.g. generative adversarial networks). Online computer programs, collated from open source repositories, give hands-on experience of neural networks, and PowerPoint slides provide support for teaching. Written in an informal style, with a comprehensive glossary, tutorial appendices (e.g. Bayes' theorem), and a list of further readings, this is an ideal introduction to the algorithmic engines of modern artificial intelligence.
Da: preigu, Osnabrück, Germania
EUR 42,90
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Artificial Intelligence Engines | A Tutorial Introduction to the Mathematics of Deep Learning | James V Stone | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Sebtel Press | EAN 9780956372819 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 102,09
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The brain has always had a fundamental advantage over conventional computers: it can learn. However, a new generation of artificial intelligence algorithms, in the form of deep neural networks, is rapidly eliminating that advantage. Deep neural networks rely on adaptive algorithms to master a wide variety of tasks, including cancer diagnosis, object recognition, speech recognition, robotic control, chess, poker, backgammon and Go, at super-human levels of performance.In this richly illustrated book, key neural network learning algorithms are explained informally first, followed by detailed mathematical analyses. Topics include both historically important neural networks (e.g. perceptrons), and modern deep neural networks (e.g. generative adversarial networks). Online computer programs, collated from open source repositories, give hands-on experience of neural networks, and PowerPoint slides provide support for teaching. Written in an informal style, with a comprehensive glossary, tutorial appendices (e.g. Bayes' theorem), and a list of further readings, this is an ideal introduction to the algorithmic engines of modern artificial intelligence.