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...

詳細記述

書誌詳細

第一著者:	Rizvi, Shahriyar Masud
フォーマット:	学位論文
言語:	英語
出版事項:	2023
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://eprints.utm.my/102817/1/ShahriyarMasudRizviPSKE2023.pdf.pdf