Practical MATLAB Deep Learning: A Projects-Based Approach

By:

Paluszek, Michael

Contributor(s):

Thomas, Stephanie

Publication details: Apress 2022 USAEdition: 2nd edDescription: xix, 329pISBN:

9781484291955

LOC classification:

621.382/PAL/THO

Summary: 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.

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Item type	Current library	Call number	Status	Date due	Barcode
Books	Symbiosis Institute of Computer Studies and Research	621.382/PAL/THO (Browse shelf(Opens below))	Available		SICSR-B-19685

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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.

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