EUR 7,62
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Ajouter au panierPaperback. Etat : Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.95.
EUR 7,62
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Ajouter au panierPaperback. Etat : Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 1.95.
EUR 7,62
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Ajouter au panierPaperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.95.
Edité par O'Reilly Media, Incorporated, 2017
ISBN 10 : 1491914254 ISBN 13 : 9781491914250
Langue: anglais
Vendeur : Better World Books: West, Reno, NV, Etats-Unis
EUR 7,83
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Ajouter au panierEtat : Good. Used book that is in clean, average condition without any missing pages.
EUR 20,51
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Ajouter au panierEtat : good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
EUR 20,92
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Ajouter au panierEtat : very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Vendeur : Wonder Book, Frederick, MD, Etats-Unis
EUR 6,20
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Ajouter au panierEtat : Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.
EUR 8,10
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Ajouter au panierPaperback. Etat : Good.
Vendeur : St Vincent de Paul of Lane County, Eugene, OR, Etats-Unis
EUR 6,16
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Ajouter au panierEtat : Good. COVER SHOWS SOME GENERAL WEAR, SUCH AS SCRATCHES, RUBBING, STAINING, STICKER AND/OR GLUE RESIDUE AND CREASES. paperback 100% of proceeds go to charity! Good condition with all pages in tact. Item shows signs of use and may have cosmetic defects.
EUR 24,68
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Ajouter au panierPaperback. Etat : Very Good-. 6 pages have highlighting present. - Great overall condition. Minor cosmetic wear. No noteworthy blemishes. No writing. ; - We're committed to your satisfaction. We offer free returns and respond promptly to all inquiries. Your item will be carefully wrapped in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
EUR 44,20
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Ajouter au panierEtat : New. In.
Edité par O'Reilly Media 8/19/2017, 2017
ISBN 10 : 1491914254 ISBN 13 : 9781491914250
Langue: anglais
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
EUR 39,83
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Ajouter au panierPaperback or Softback. Etat : New. Deep Learning: A Practitioner's Approach 1.8. Book.
EUR 44,07
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Ajouter au panierEtat : New.
EUR 47,80
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Ajouter au panierPaperback. Etat : New. Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning-especially deep neural networks-make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J. Dive into machine learning concepts in general, as well as deep learning in particular Understand how deep networks evolved from neural network fundamentals Explore the major deep network architectures, including Convolutional and Recurrent Learn how to map specific deep networks to the right problem Walk through the fundamentals of tuning general neural networks and specific deep network architectures Use vectorization techniques for different data types with DataVec, DL4J's workflow tool Learn how to use DL4J natively on Spark and Hadoop.
EUR 49,58
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierPaperback. Etat : New. Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning-especially deep neural networks-make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J. Dive into machine learning concepts in general, as well as deep learning in particular Understand how deep networks evolved from neural network fundamentals Explore the major deep network architectures, including Convolutional and Recurrent Learn how to map specific deep networks to the right problem Walk through the fundamentals of tuning general neural networks and specific deep network architectures Use vectorization techniques for different data types with DataVec, DL4J's workflow tool Learn how to use DL4J natively on Spark and Hadoop.
Edité par O'Reilly Media 2016-03-31, 2016
ISBN 10 : 1491914254 ISBN 13 : 9781491914250
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 42,29
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : New.
Edité par O?Reilly Media, Inc, USA, 2017
ISBN 10 : 1491914254 ISBN 13 : 9781491914250
Langue: anglais
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
EUR 49,24
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierEtat : New. Looking for one central source where you can learn key findings on machine learning? Deep Learning provides developers and data scientists with the most practical information available on the subject, including deep learning theory, best practices, and use cases. Num Pages: 400 pages. BIC Classification: UYQM. Category: (XV) Technical / Manuals. Dimension: 250 x 150 x 15. Weight in Grams: 666. . 2015. 1st Edition. Paperback. . . . .
EUR 28,39
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Ajouter au panierpaperback. Etat : As New. Like New Inside and Out! Email for pictures!
EUR 11,37
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Ajouter au panierpaperback. Etat : New.
EUR 39,07
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Ajouter au panierEtat : New.
Edité par O'Reilly Media, Inc, USA, 2017
ISBN 10 : 1491914254 ISBN 13 : 9781491914250
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 47,51
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 870.
EUR 25,43
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: first ] Publisher: O'Reilly Media Pub Date: 11/25/2015 Binding: Paperback Pages: 200 first edition.
EUR 41,23
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Ajouter au panierEtat : New.
EUR 41,23
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 59,36
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : New. Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning-especially deep neural networks-make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J. Dive into machine learning concepts in general, as well as deep learning in particular Understand how deep networks evolved from neural network fundamentals Explore the major deep network architectures, including Convolutional and Recurrent Learn how to map specific deep networks to the right problem Walk through the fundamentals of tuning general neural networks and specific deep network architectures Use vectorization techniques for different data types with DataVec, DL4J's workflow tool Learn how to use DL4J natively on Spark and Hadoop.
Edité par O Reilly Media, Inc, USA, 2017
ISBN 10 : 1491914254 ISBN 13 : 9781491914250
Langue: anglais
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 59,77
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierEtat : New. Looking for one central source where you can learn key findings on machine learning? Deep Learning provides developers and data scientists with the most practical information available on the subject, including deep learning theory, best practices, and use cases. Num Pages: 400 pages. BIC Classification: UYQM. Category: (XV) Technical / Manuals. Dimension: 250 x 150 x 15. Weight in Grams: 666. . 2015. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
EUR 45,62
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Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 52,91
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierEtat : New. How can machine learning-especially deep neural networks-make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learn.
EUR 64,30
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : New. Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning-especially deep neural networks-make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J. Dive into machine learning concepts in general, as well as deep learning in particular Understand how deep networks evolved from neural network fundamentals Explore the major deep network architectures, including Convolutional and Recurrent Learn how to map specific deep networks to the right problem Walk through the fundamentals of tuning general neural networks and specific deep network architectures Use vectorization techniques for different data types with DataVec, DL4J's workflow tool Learn how to use DL4J natively on Spark and Hadoop.
EUR 1,98
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierpaperback. Etat : Good.