Learning to prune deep neural networks via layer-wise optimal brain surgeon
How to develop slim and accurate deep neural networks has become crucial for real- world applications, especially for those employed in embedded systems. Though previous work along this research line has shown some promising results, most existing methods either fail to significantly compress a well...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/137659 |
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Institution: | Nanyang Technological University |
Language: | English |