Da: Greenworld Books, Arlington, TX, U.S.A.
EUR 27,38
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: good. Fast Free Shipping â" Good condition book with a firm cover and clean, readable pages. Shows normal use, including some light wear or limited notes highlighting, yet remains a dependable copy overall. Supplemental items like CDs or access codes may not be included.
Da: HPB-Red, Dallas, TX, U.S.A.
EUR 24,54
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Aggiungi al carrelloPaperback. 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: Seattle Goodwill, Seattle, WA, U.S.A.
EUR 24,54
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Aggiungi al carrellopaperback. Condizione: Good.
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
EUR 28,04
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Aggiungi al carrelloPaperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.24.
Da: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
EUR 28,04
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Aggiungi al carrelloCondizione: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 34,62
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Aggiungi al carrelloCondizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Da: thebookforest.com, San Rafael, CA, U.S.A.
EUR 35,01
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Aggiungi al carrelloCondizione: New. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
Da: upickbook, Daly City, CA, U.S.A.
EUR 35,01
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Aggiungi al carrellopaperback. Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 48,18
Convertire valutaQuantità: Più di 20 disponibili
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 49,34
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Best Price, Torrance, CA, U.S.A.
EUR 46,70
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Aggiungi al carrelloCondizione: New. SUPER FAST SHIPPING.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 51,28
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Da: California Books, Miami, FL, U.S.A.
EUR 57,79
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 61,16
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Aggiungi al carrelloPaperback. Condizione: New. Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.Train models in computer vision, natural language processing, tabular data, and collaborative filteringLearn the latest deep learning techniques that matter most in practiceImprove accuracy, speed, and reliability by understanding how deep learning models workDiscover how to turn your models into web applicationsImplement deep learning algorithms from scratchConsider the ethical implications of your workGain insight from the foreword by PyTorch cofounder, Soumith Chintala.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 46,86
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Aggiungi al carrelloCondizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 50,78
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 57,32
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Aggiungi al carrelloCondizione: New. In.
Editore: O'Reilly Media, Inc. 2020-08-21, 2020
ISBN 10: 1492045527 ISBN 13: 9781492045526
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 56,13
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Aggiungi al carrelloPaperback. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 57,46
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 68,98
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Aggiungi al carrelloCondizione: New. pp. 350.
EUR 79,35
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. 350.
EUR 83,20
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.Train models in computer vision, natural language processing, tabular data, and collaborative filteringLearn the latest deep learning techniques that matter most in practiceImprove accuracy, speed, and reliability by understanding how deep learning models workDiscover how to turn your models into web applicationsImplement deep learning algorithms from scratchConsider the ethical implications of your workGain insight from the foreword by PyTorch cofounder, Soumith Chintala.
EUR 85,13
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Aggiungi al carrelloCondizione: New. pp. 350.
EUR 63,21
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.Train models in computer vision, natural language processing, tabular data, and collaborative filteringLearn the latest deep learning techniques that matter most in practiceImprove accuracy, speed, and reliability by understanding how deep learning models workDiscover how to turn your models into web applicationsImplement deep learning algorithms from scratchConsider the ethical implications of your workGain insight from the foreword by PyTorch cofounder, Soumith Chintala.
Da: Revaluation Books, Exeter, Regno Unito
EUR 81,45
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Aggiungi al carrelloPaperback. Condizione: Brand New. 350 pages. 9.25x7.25x1.00 inches. In Stock.
EUR 68,34
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You ll also dive progressively further into deep learning theory to gain a complete understanding of the algor.
EUR 77,46
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.Train models in computer vision, natural language processing, tabular data, and collaborative filteringLearn the latest deep learning techniques that matter most in practiceImprove accuracy, speed, and reliability by understanding how deep learning models workDiscover how to turn your models into web applicationsImplement deep learning algorithms from scratchConsider the ethical implications of your workGain insight from the foreword by PyTorch cofounder, Soumith Chintala.
Da: Revaluation Books, Exeter, Regno Unito
EUR 73,19
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 350 pages. 9.25x7.25x1.00 inches. In Stock. This item is printed on demand.