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Deep Learning Coders Fastai by Howard Jeremy (29 results)
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Condition: Good. Signs of wear and consistent use.
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Condition: Good. This is a paper back book: Used - Good: A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Condition: New. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
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paperback. Condition: New.
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US$ 32.48
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Add to basketCondition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1150grams, ISBN:9781492045526.
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Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD (Paperback or Softback)
Published by O'Reilly Media 8/4/2020, 2020
ISBN 10: 1492045527 ISBN 13: 9781492045526
Language: English
Paperback or Softback. Condition: New. Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD 2.05. Book.
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US$ 56.35
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US$ 58.56
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Learning for Coders with fastai and PyTorch
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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US$ 59.05
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Paperback. Condition: 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.
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Deep Learning for Coders With Fastai and Pytorch : AI Applications Without a Phd
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 66.39
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Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 66.64
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Paperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
Published by O'Reilly Media, Inc. 2020-08-21, 2020
ISBN 10: 1492045527 ISBN 13: 9781492045526
Language: English
US$ 65.25
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Deep Learning for Coders With Fastai and Pytorch : AI Applications Without a Phd
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 67.51
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US$ 78.78
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Deep Learning for Coders with fastai and PyTorch
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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US$ 94.05
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Add to basketPaperback. Condition: 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.
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Condition: New. pp. 350.
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Deep Learning for Coders With Fastai and Pytorch: Ai Applications Without a Phd
Published by Oreilly & Associates Inc, 2020
ISBN 10: 1492045527 ISBN 13: 9781492045526
Language: English
US$ 95.79
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Add to basketPaperback. Condition: Brand New. 350 pages. 9.25x7.25x1.00 inches. In Stock.
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US$ 102.06
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US$ 59.52
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Deep Learning for Coders with Fastai and Pytorch : AI Applications Without a PhD
Published by O'reilly Media Aug 2020, 2020
ISBN 10: 1492045527 ISBN 13: 9781492045526
Language: English
US$ 84.25
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Add to basketTaschenbuch. Condition: Neu. Neuware - Deep learning has the reputation as an exclusive domain for math PhDs. Not so. With this book, programmers comfortable with Python will learn how to get started with deep learning right away. Using PyTorch and the fastai deep learning library, you'll learn how to train a model to accomplish a wide range of tasks-including computer vision, natural language processing, tabular data, and generative networks. At the same time, you'll dig progressively into deep learning theory so that by the end of the book you'll have a complete understanding of the math behind the library's functions.
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US$ 74.24
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Add to basketPaperback. Condition: 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.
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US$ 90.05
Convert currencyUS$ 87.38 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: 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.
-
Deep Learning for Coders With Fastai and Pytorch: Ai Applications Without a Phd
Published by Oreilly & Associates Inc, 2020
ISBN 10: 1492045527 ISBN 13: 9781492045526
Language: English
US$ 85.09
Convert currencyUS$ 13.44 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 350 pages. 9.25x7.25x1.00 inches. In Stock. This item is printed on demand.
