Automated deep-learning model optimization framework for microcontrollers
This paper introduces a framework for optimizing deep-learning models on microcontrollers (MCUs) that is crucial in today’s expanding embedded device market. We focus on model optimization techniques, particularly pruning and quantization, to enhance the performance of neural networks within the lim...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Electronics and Telecommunications Research Institute (ETRI)
2025-04-01
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| Series: | ETRI Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.4218/etrij.2023-0522 |
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