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...

全面介紹

Saved in:
書目詳細資料
主要作者: Rizvi, Shahriyar Masud
格式: Thesis
語言:English
出版: 2023
主題:
在線閱讀:http://eprints.utm.my/102817/1/ShahriyarMasudRizviPSKE2023.pdf.pdf
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!

相似書籍