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Aggiungi al carrelloCondizione: New. xix, 198 pages First edition "A Chapman & Hall book. Includes bibliographical references and index.
EUR 67,68
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Aggiungi al carrelloPaperback. Condizione: Brand New. 218 pages. 9.18x6.12x9.21 inches. In Stock.
EUR 83,29
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Aggiungi al carrelloCondizione: New. pp. 198.
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 0367456583 ISBN 13: 9780367456580
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 60,66
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures.Key features: Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals. Explains and provides examples of deploying TensorFlow and Keras in several projects. Explains the fundamentals of Artificial Neural Networks (ANNs). Presents several examples and applications of ANNs. Learning the most popular DL algorithms features. Explains and provides examples for the DL algorithms that are presented in this book. Analyzes the DL networks parameter and hyperparameters. Reviews state-of-the-art DL examples. Necessary and main steps for DL modeling. Implements a Virtual Assistant Robot (VAR) using DL methods. Necessary and fundamental information to choose a proper DL algorithm. Gives instructions to learn how to optimize your DL model IN PRACTICE.This book is useful for undergraduate and graduate students, as well as practitioners in industry and academia. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step. Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
EUR 82,74
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Deep Learning in Practice. Book.
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Aggiungi al carrelloCondizione: New. pp. 198.
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 0367456583 ISBN 13: 9780367456580
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 67,52
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures.Key features: Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals. Explains and provides examples of deploying TensorFlow and Keras in several projects. Explains the fundamentals of Artificial Neural Networks (ANNs). Presents several examples and applications of ANNs. Learning the most popular DL algorithms features. Explains and provides examples for the DL algorithms that are presented in this book. Analyzes the DL networks parameter and hyperparameters. Reviews state-of-the-art DL examples. Necessary and main steps for DL modeling. Implements a Virtual Assistant Robot (VAR) using DL methods. Necessary and fundamental information to choose a proper DL algorithm. Gives instructions to learn how to optimize your DL model IN PRACTICE.This book is useful for undergraduate and graduate students, as well as practitioners in industry and academia. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step. Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Chapman and Hall/CRC 2021-12-01, 2021
ISBN 10: 0367458624 ISBN 13: 9780367458621
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 79,41
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EUR 110,17
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Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 0367456583 ISBN 13: 9780367456580
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
EUR 64,06
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures.Key features: Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals. Explains and provides examples of deploying TensorFlow and Keras in several projects. Explains the fundamentals of Artificial Neural Networks (ANNs). Presents several examples and applications of ANNs. Learning the most popular DL algorithms features. Explains and provides examples for the DL algorithms that are presented in this book. Analyzes the DL networks parameter and hyperparameters. Reviews state-of-the-art DL examples. Necessary and main steps for DL modeling. Implements a Virtual Assistant Robot (VAR) using DL methods. Necessary and fundamental information to choose a proper DL algorithm. Gives instructions to learn how to optimize your DL model IN PRACTICE.This book is useful for undergraduate and graduate students, as well as practitioners in industry and academia. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step. Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 117,33
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EUR 122,12
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EUR 145,77
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Aggiungi al carrelloHardcover. Condizione: Brand New. 198 pages. 9.50x6.25x1.00 inches. In Stock.
EUR 99,10
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