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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Paluszek, Michael (Autor), Thomas, Stephanie J. (Autor), Ham, Eric (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Apress, [2022]
Edición:Second edition.
Colección:ITpro collection
Temas:
MATLAB.
MATLAB
Machine learning.
Apprentissage automatique.
Machine learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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082 0 4 |a 006.3/1  |2 23/eng/20220913 
049 |a UAMI 
100 1 |a Paluszek, Michael,  |e author. 
245 1 0 |a Practical MATLAB deep learning :  |b a projects-based approach /  |c Michael Paluszek, Stephanie Thomas and Eric Ham. 
250 |a Second edition. 
264 1 |a New York, NY :  |b Apress,  |c [2022] 
264 4 |c Ã2022 
300 |a 1 online resource (xix, 329 pages : illustrations) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 0 |a ITpro collection 
504 |a Includes bibliographical references and index. 
520 |a 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. 
505 0 0 |t What Is Deep Learning? --  |t MATLAB Machine learning toolboxes --  |t Findining circles with deep learning --  |t Classifying movies --  |t Algorithmic deep learning --  |t Tokamak disruption detection --  |t Classifying a pirouette --  |t Completing sentences --  |t Terrain-based navigation --  |t Stock prediction --  |t Image classification --  |t Orbit determination --  |t Earth sensors --  |t Generative modeling of music --  |t Reinforcement learning. 
588 |a Description based on online resource; title from digital title page (viewed on November 08, 2022). 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
630 0 0 |a MATLAB. 
630 0 7 |a MATLAB  |2 fast 
650 0 |a Machine learning. 
650 6 |a Apprentissage automatique. 
650 7 |a Machine learning  |2 fast 
700 1 |a Thomas, Stephanie J.,  |e author. 
700 1 |a Ham, Eric,  |e author. 
776 0 8 |c Original  |z 1484279115  |z 9781484279113  |w (OCoLC)1274198335 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781484279120/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL7084524 
938 |a YBP Library Services  |b YANK  |n 303114084 
938 |a EBSCOhost  |b EBSC  |n 3380261 
994 |a 92  |b IZTAP 

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