Retraining SNN conversions: CNN to SNN for audio classification tasks
Efficient yet powerful models are in high demand for its portability and affordability. Amongst other methods such as model-pruning, is limiting neural network operations to sparse event-driven spikes: Spiking Neural Networks (SNNs) aims to unravel a new direction in machine learning research. A si...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/167383 |
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| Institution: | Nanyang Technological University |
| Language: | English |