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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Bibliographic Details
Main Author: Chong, Jack Huai Jie
Other Authors: Lihui Chen
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167151
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Institution: Nanyang Technological University
Language: English