FPGA implementation of low-power real-time convolutional neural network inference
While artificial intelligence is applied in many areas of live, its computational intensity requires the presence of a large amount of computing resources. The data which are meant to be processed with those algorithms, however, are not generated in data centres or on desktop workstations. Instead,...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/137750 |