Improved field programmable gatearraybased accelerator of deep neural networkusing opencl

Being compute-intensive and memory expensive, it is hard to deploy Deep Neural Network (DNN) based models into the embedded devices. Despite recent studies that have shown the efforts to explore the Field Programmable Gate Array (FPGA) as an alternative to deploy DNN-based models such as AlexNet and...

詳細記述

書誌詳細

第一著者:	Yap, June Wai
フォーマット:	学位論文
言語:	英語 英語
出版事項:	2022
オンライン･アクセス:	http://eprints.utem.edu.my/id/eprint/26977/1/Improved%20field%20programmable%20gatearraybased%20accelerator%20of%20deep%20neural%20networkusing%20opencl.pdf http://eprints.utem.edu.my/id/eprint/26977/2/Improved%20field%20programmable%20gatearraybased%20accelerator%20of%20deep%20neural%20networkusing%20opencl.pdf