Running CNN efficiently on a FPGA
With increased demand for AI at the edge, there is a pressing need to adapt ever more computationally demanding deep learning models for deployment onto embedded devices. As accelerators for these networks, FPGAs have become preferred for their energy efficiency and adaptability, but models also...
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格式: | Final Year Project |
語言: | English |
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Nanyang Technological University
2022
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在線閱讀: | https://hdl.handle.net/10356/156579 |
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機構: | Nanyang Technological University |
語言: | English |