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Edité par Packt Publishing 2021-03, 2021
ISBN 10 : 1800206135 ISBN 13 : 9781800206137
Langue: anglais
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Edité par Packt Publishing 3/4/2021, 2021
ISBN 10 : 1800206135 ISBN 13 : 9781800206137
Langue: anglais
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Ajouter au panierPaperback or Softback. Etat : New. Deep Learning from the Basics: Python and Deep Learning: Theory and Implementation 1.2. Book.
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Ajouter au panierpaperback. Etat : 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!
Edité par Packt Publishing Limited, 2021
ISBN 10 : 1800206135 ISBN 13 : 9781800206137
Langue: anglais
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 43,73
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Ajouter au panierPAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Edité par Packt Publishing Limited, 2021
ISBN 10 : 1800206135 ISBN 13 : 9781800206137
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 47,39
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 75.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 57,68
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us.Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its definition, characteristics, and applications. You'll learn how to use the Python interpreter and the script files in your applications, and utilize NumPy and Matplotlib in your deep learning models. As you progress through the book, you'll discover backpropagation-an efficient way to calculate the gradients of weight parameters-and study multilayer perceptrons and their limitations, before, finally, implementing a three-layer neural network and calculating multidimensional arrays. By the end of the book, you'll have the knowledge to apply the relevant technologies in deep learning.