SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING

SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING

Deep learning is usually based on matrix computing with a large number of hidden parameters that are not visible outside the computing module. A deep learning algorithm can be implemented in hardware or software as a non-linear system. It is common for researchers to visualize a computing module and...

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Bibliographic Details
Main Authors: Vladimir Milićević, Igor Franc, Maja Lutovac Banduka, Nemanja Zdravković, Nikola Dimitrijević
Format: Article
Language:English
Published: Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia 2025-03-01
Series:International Journal for Quality Research
Subjects:
artificial neural networks
closed-form expression
feature extraction
machine learning
Online Access:http://ijqr.net/journal/v19-n1/6.pdf
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http://ijqr.net/journal/v19-n1/6.pdf

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