Practical MATLAB deep learning : a projects-based approach /

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you'll see how these toolboxes provide the complet...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Paluszek, Michael (Author), Thomas, Stephanie J. (Author), Ham, Eric (Author)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Apress, [2022]
Edition:Second edition.
Series:ITpro collection
Subjects:
MATLAB.
MATLAB
Machine learning.
Apprentissage automatique.
Machine learning
Online Access:Texto completo (Requiere registro previo con correo institucional)
Description
Summary:Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you'll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning.
Physical Description:1 online resource (xix, 329 pages : illustrations)
Bibliography:Includes bibliographical references and index.
ISBN:9781484279120
1484279123

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