Resource efficient neural networks through Hessian based pruning
Neural network pruning is a practical way for reducing the size of trained models and the number of floating-point operations (FLOPs). One way of pruning is to use the relative Hessian trace to calculate sensitivity of each channel, as compared to the more common magnitude pruning approach. However,...
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格式: | Final Year Project |
語言: | English |
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Nanyang Technological University
2023
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在線閱讀: | https://hdl.handle.net/10356/167151 |
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機構: | Nanyang Technological University |
語言: | English |