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Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Paperback. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Language: English
Published by O'Reilly Media (edition 1), 2017
ISBN 10: 1491914254 ISBN 13: 9781491914250
Seller: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Seller: St Vincent de Paul of Lane County, Eugene, OR, U.S.A.
Condition: 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.
Paperback. Condition: 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!
Seller: Goodwill of Greater Milwaukee and Chicago, Racine, WI, U.S.A.
Condition: acceptable. Book is considered to be in acceptable condition. The actual cover image may not match the stock photo. Book may have one or more of the following defects: noticeable wear on the cover dust jacket or spine; curved, dog eared or creased page s ; writing or highlighting inside or on the edges; sticker s or other adhesive on cover; CD DVD may not be included; and book may be a former library copy.
Language: English
Published by O'Reilly Media, Incorporated, 2017
ISBN 10: 1491914254 ISBN 13: 9781491914250
Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Condition: very_good. This books is in Very good condition. There may be a few flaws like shelf wear and some light wear.
paperback. Condition: New.
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Condition: 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.
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Language: English
Published by O'Reilly Media 8/19/2017, 2017
ISBN 10: 1491914254 ISBN 13: 9781491914250
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Deep Learning: A Practitioner's Approach. Book.
Condition: As New. Unread book in perfect condition.
Condition: New.
Condition: New.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Oreilly & Associates Inc, 2017
ISBN 10: 1491914254 ISBN 13: 9781491914250
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 507 pages. 10.00x7.25x1.25 inches. In Stock.
Language: English
Published by O'reilly Media Sep 2017, 2017
ISBN 10: 1491914254 ISBN 13: 9781491914250
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learningespecially deep neural networksmake 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.