AN ENSEMBLE ONE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK WITH BAYESIAN EXPONENTIAL ADAPTIVE GRADIENTS FOR SOUND CLASSIFICATION

RAGAB, MOHAMMED GAMAL (2021) AN ENSEMBLE ONE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK WITH BAYESIAN EXPONENTIAL ADAPTIVE GRADIENTS FOR SOUND CLASSIFICATION. Masters thesis, Universiti Teknologi PETRONAS.

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Abstract

With the growth of deep learning in various classification problems, many researchers
have used deep learning methods in environmental sound classification tasks.

Item Type: Thesis (Masters)
Subjects: T Technology > T Technology (General)
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 22 Feb 2022 08:33
Last Modified: 22 Feb 2022 08:33
URI: http://utpedia.utp.edu.my/id/eprint/22718

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