Spectral domain convolutional neural network optimized for computational workload and memory access cost

Conventional convolutional neural networks (CNNs), which are realized in the spatial domain, present a high computationalworkload and memory access cost (CMC). Spectral domain CNNs (SpCNNs) offer a computationally efficient approach for performing CNN training and inference. State-of-the-art SpCNNs...

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Bibliographic Details

Main Author:	Rizvi, Shahriyar Masud
Format:	Thesis
Language:	English
Published:	2023
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/102817/1/ShahriyarMasudRizviPSKE2023.pdf.pdf