EUR 5,35
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Añadir al carritoCondición: acceptable. Ausreichend/Acceptable: Exemplar mit vollständigem Text und sämtlichen Abbildungen oder Karten. Schmutztitel oder Vorsatz können fehlen. Einband bzw. Schutzumschlag weisen unter Umständen starke Gebrauchsspuren auf. / Describes a book or dust jacket that has the complete text pages (including those with maps or plates) but may lack endpapers, half-title, etc. (which must be noted). Binding, dust jacket (if any), etc may also be worn.
Idioma: Inglés
Publicado por O'Reilly Media (edition 1), 2020
ISBN 10: 1492045527 ISBN 13: 9781492045526
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 24,70
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Añadir al carritoPaperback. Condición: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
Librería: Books for Life, LAUREL, MD, Estados Unidos de America
EUR 24,94
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Añadir al carritoCondición: very_good. Book is in very good condition. Clean with little to no signs of wear or markings highlights.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 22,50
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Añadir al carritoPaperback. Condición: 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!
Idioma: Inglés
Publicado por O'Reilly Media (edition 1), 2020
ISBN 10: 1492045527 ISBN 13: 9781492045526
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 26,19
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Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por O'Reilly Media, Incorporated, 2020
ISBN 10: 1492045527 ISBN 13: 9781492045526
Librería: Better World Books: West, Reno, NV, Estados Unidos de America
EUR 26,32
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Añadir al carritoCondición: 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.
Librería: Symposia Community Bookstore INC, Hoboken, NJ, Estados Unidos de America
EUR 22,98
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Añadir al carritopaperback. Condición: Good. Unmarked pages, nice cover. Some light coffee stain on edges.
Librería: Hawking Books, Edgewood, TX, Estados Unidos de America
EUR 27,71
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Añadir al carritoCondición: Very Good. Very Good Condition. Has some wear. Five star seller - Buy with confidence!
EUR 5,55
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Añadir al carritoSoftcover. Condición: Très bon. Ancien livre de bibliothèque avec équipements. Edition 2017. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2017. Ammareal gives back up to 15% of this item's net price to charity organizations.
EUR 5,55
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Añadir al carritoSoftcover. Condición: Bon. Ancien livre de bibliothèque. Petite(s) trace(s) de pliure sur la couverture. Pages cornées. Notes en marge. Tampon ou marque sur la face intérieure de la couverture. Edition 2018. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisation ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slightly creased cover. Dog-eared pages. Notes on page margins. Stamp or mark on the inside cover page. Edition 2018. Ammareal gives back up to 15% of this item's net price to charity organizations.
Idioma: Inglés
Publicado por O'Reilly Media August 2020, 2020
ISBN 10: 1492045527 ISBN 13: 9781492045526
Librería: Isle of Books, Bozeman, MT, Estados Unidos de America
EUR 33,36
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Añadir al carritoPaper Back. Condición: Very Good.
EUR 17,31
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Añadir al carritoCondición: 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.
Librería: -OnTimeBooks-, Phoenix, AZ, Estados Unidos de America
EUR 38,36
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Añadir al carritoCondición: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 42,35
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Añadir al carritoCondición: New.
Librería: PAPER CAVALIER UK, London, Reino Unido
EUR 49,01
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Añadir al carritoCondición: as new. Appears unread. May have a retail sticker on back cover or remainder mark on the text block.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 56,02
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 55,30
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 57,94
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Añadir al carritoPaperback. Condición: 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.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 59,51
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Añadir al carritoCondición: New.
EUR 24,90
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Neuf.
EUR 24,90
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Neuf.
EUR 24,90
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Añadir al carritoCondición: Neuf.
Idioma: Inglés
Publicado por O'Reilly Media, Sebastopol, 2020
ISBN 10: 1492045527 ISBN 13: 9781492045526
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 63,28
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. 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 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: medimops, Berlin, Alemania
EUR 53,23
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: 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 31,95
Cantidad disponible: 1 disponibles
Añadir al carritoSoftcover. Condición: Très bon. Ancien livre de bibliothèque avec équipements. Edition 2022. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2022. Ammareal gives back up to 15% of this item's net price to charity organizations.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 52,01
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 51,26
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Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 59,87
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: New. In.
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 74,13
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 56,68
Cantidad disponible: 2 disponibles
Añadir al carritopaperback. Condición: New.