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...
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| Format: | Thèse |
| Langue: | anglais anglais |
| Publié: |
2022
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| Accès en ligne: | 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 |
Internet
http://eprints.utem.edu.my/id/eprint/26977/1/Improved%20field%20programmable%20gatearraybased%20accelerator%20of%20deep%20neural%20networkusing%20opencl.pdfhttp://eprints.utem.edu.my/id/eprint/26977/2/Improved%20field%20programmable%20gatearraybased%20accelerator%20of%20deep%20neural%20networkusing%20opencl.pdf