Sylvain Gugger's Books

Deep Learning for Coders with fastai and PyTorch

By: Jeremy Howard,Sylvain Gugger

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Deep Learning for Coders with fastai and PyTorch

By: Jeremy Howard,Sylvain Gugger

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 filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

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624

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"O'Reilly Media, Inc."

Published Date

ISBN 10

1492045470

ISBN 13

9781492045472

Deep Learning for Coders with fastai and PyTorch

By: Jeremy Howard,Sylvain Gugger

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Deep Learning for Coders with fastai and PyTorch

By: Jeremy Howard,Sylvain Gugger

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N/A

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Solve jigsaw puzzle

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Page Count

624

Publisher

"O'Reilly Media, Inc."

Published Date

ISBN 10

1492045470

ISBN 13

9781492045472

Maths MP/MP-MPI/MPI

By: Sylvain Gugger,Gérard Rozsavolgyi,Laurent Pater,Henri Lemberg

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Maths MP/MP-MPI/MPI

By: Sylvain Gugger,Gérard Rozsavolgyi,Laurent Pater,Henri Lemberg

Cet ouvrage couvre l'ensemble du programme de maths enseigné en 2e année dans les classes MP et MP* conformément aux nouveaux programmes 2021-2022. La collection Parcours prépas a été conçue pour permettre aux élèves de : Comprendre et retenir l’essentiel du cours, Maîtriser les méthodes de travail, Etre à l’aise face aux exercices et problèmes, Réussir les épreuves des concours. L'essentiel du cours et les méthodes Les notions du programme indispensables à connaître. Les principales difficultés et erreurs mises en avant. Les méthodes présentées étape par étape. La mise en place informatique en Python des méthodes algorithmiques. Un entraînement complet dans chaque chapitre Des interros de cours pour valider ses connaissances. Des exercices d'entraînement pour appliquer le cours. Des exercices d'approfondissement et des extraits de sujets, pour se préparer aux concours. Tous les corrigés détaillés et expliqués.

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Page Count

731

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Ediscience

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ISBN 10

2100850539

ISBN 13

9782100850532

Book's by Sylvain Gugger

Deep Learning for Coders with fastai and PyTorch

Deep Learning for Coders with fastai and PyTorch

Deep Learning for Coders with fastai and PyTorch

Deep Learning for Coders with fastai and PyTorch

Maths MP/MP-MPI/MPI

Maths MP/MP-MPI/MPI

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Book's by Sylvain Gugger

Deep Learning for Coders with fastai and PyTorch

Deep Learning for Coders with fastai and PyTorch

Deep Learning for Coders with fastai and PyTorch

Deep Learning for Coders with fastai and PyTorch

Maths MP/MP*-MPI/MPI*

Maths MP/MP*-MPI/MPI*

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Maths MP/MP-MPI/MPI

Maths MP/MP-MPI/MPI