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deep learning coders fastai di howard jeremy (32 risultati)
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Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD
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Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD
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Deep Learning for Coders With Fastai and Pytorch : AI Applications Without a Phd
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Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD
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paperback. Condizione: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Deep Learning for Coders With Fastai and Pytorch : AI Applications Without a Phd
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Deep Learning for Coders with fastai and PyTorch
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Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD
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Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD
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Deep Learning for Coders With Fastai and Pytorch : AI Applications Without a Phd
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Deep Learning for Coders with fastai and PyTorch
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Paperback. 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.
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Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD (eng)
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Deep Learning for Coders With Fastai and Pytorch : AI Applications Without a Phd
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Deep Learning for Coders With Fastai and Pytorch : AI Applications Without a Phd
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Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD
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Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
Editore: O'Reilly Media, Inc. 2020-08-21, 2020
ISBN 10: 1492045527 ISBN 13: 9781492045526
Lingua: Inglese
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Deep Learning for Coders With Fastai and Pytorch : AI Applications Without a Phd
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 57,38
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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.
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Paperback. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Deep Learning for Coders with fastai and PyTorch
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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.
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Deep Learning for Coders with fastai and PyTorch
Da: Majestic Books, Hounslow, Regno Unito
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EUR 87,19
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Deep Learning for Coders With Fastai and Pytorch: Ai Applications Without a Phd
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Aggiungi al carrelloPaperback. Condizione: Brand New. 350 pages. 9.25x7.25x1.00 inches. In Stock.
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Deep Learning for Coders with fastai and PyTorch
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Condizione: New. pp. 350.
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Deep Learning for Coders with fastai and PyTorch
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EUR 63,74
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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.
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Aggiungi al carrelloTaschenbuch. Condizione: 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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Deep Learning for Coders with fastai and PyTorch
Da: Rarewaves.com UK, London, Regno Unito
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EUR 74,10
EUR 73,78 per la spedizione da Regno Unito a U.S.A.Quantità: 1 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.
