Activation-Based Pruning of Neural Networks
We present a novel technique for pruning called <i>activation-based</i> pruning to effectively prune fully connected feedforward neural networks for multi-object classification. Our technique is based on the number of times each neuron is activated during model training. We compare the p...
Main Authors: | Tushar Ganguli, Edwin K. P. Chong |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
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Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/17/1/48 |
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