Converting recurrent neural networks to minimal-state deterministic finite automata for deployment on edge devices
Edge computing for lowlatency internet-of-things (IoT) applications requires more data analysis to occur closer to the data source on edge devices such as micro-controllers, that have limited memory and computational resources. This project’s objective is to outline a generalisable procedure to c...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/158314 |
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