Order Total (1 Item Items):
Shipping Destination:
Gibson Adam Patterson Josh (28 results)
Feedback
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (28)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (28)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (11)
- Not Print on Demand (27)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
paperback. Condition: Good.
-
Deep Learning: A Practitioner's Approach
Seller: Wonder Book, Frederick, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: 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.
-
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!
-
Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 1.95.
-
Deep Learning : A Practitioner's Approach
Published by O'Reilly Media, Incorporated, 2017
ISBN 10: 1491914254 ISBN 13: 9781491914250
Language: English
Condition: Good. Used book that is in clean, average condition without any missing pages.
-
Deep Learning : A Practitioner's Approach
Published by O'Reilly Media, Incorporated, 2017
ISBN 10: 1491914254 ISBN 13: 9781491914250
Language: English
Condition: Good. Used book that is in clean, average condition without any missing pages.
-
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.
-
paperback. Condition: New. securely packed, we ship daily.
-
Deep Learning A Practitioner's Approach
Seller: True Oak Books, Highland, NY, U.S.A.
Association Member: IOBA
Seller rating 5 out of 5 stars
Paperback. Condition: 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.
-
Condition: As New. Unread book in perfect condition.
-
paperback. Condition: As New. Like New Inside and Out! Email for pictures!
-
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.
-
US$ 30.07
Convert currencyUS$ 11.74 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketCondition: 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.
-
Condition: New.
-
US$ 40.63
Convert currencyUS$ 3.99 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
-
Condition: New.
-
Paperback. Condition: 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.
-
Deep Learning : A Practitioner's Approach
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 45.96
Convert currencyUS$ 20.40 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New.
-
Deep Learning: A Practitioner's Approach
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 53.70
Convert currencyUS$ 16.29 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. In.
-
Deep Learning: A Practitioner's Approach
Published by O'Reilly Media 2016-03-31, 2016
ISBN 10: 1491914254 ISBN 13: 9781491914250
Language: English
US$ 49.75
Convert currencyUS$ 21.06 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketPaperback. Condition: New.
-
Deep Learning : A Practitioner's Approach
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 53.64
Convert currencyUS$ 20.40 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Deep Learning
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 4 out of 5 stars
US$ 75.54
Convert currencyFree shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: 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.
-
Deep Learning: A Practitioner's Approach
Published by Oreilly & Associates Inc, 2017
ISBN 10: 1491914254 ISBN 13: 9781491914250
Language: English
US$ 73.48
Convert currencyUS$ 13.60 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 507 pages. 10.00x7.25x1.25 inches. In Stock.
-
US$ 59.62
Convert currencyUS$ 50.00 shipping within U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: 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.
-
US$ 63.97
Convert currencyUS$ 57.50 shipping from Germany to U.S.A.Quantity: 3 available
Add to basketCondition: 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.
-
US$ 69.82
Convert currencyUS$ 88.38 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: 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.
-
Deep Learning: A Practitioner's Approach
Published by Oreilly & Associates Inc, 2017
ISBN 10: 1491914254 ISBN 13: 9781491914250
Language: English
US$ 64.64
Convert currencyUS$ 13.60 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 507 pages. 10.00x7.25x1.25 inches. In Stock. This item is printed on demand.
