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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Bibliographic Details
Main Author: Chang, John Rong Qi
Other Authors: Goh Wang Ling
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167383
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Institution: Nanyang Technological University
Language: English