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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書目詳細資料

主要作者:	Rizvi, Shahriyar Masud
格式:	Thesis
語言:	英语
出版:	2023
主題:	TK Electrical engineering. Electronics Nuclear engineering
在線閱讀:	http://eprints.utm.my/102817/1/ShahriyarMasudRizviPSKE2023.pdf.pdf