Building highly efficient neural networks through weight pruning
Abstract: Neural network pruning—the task of reducing the size of a neural network architecture by removing neurons/connections (or links) in the networks—has been one of the main focuses of a great deal of work in recent years. Neural network pruning reduces the size of the neural network by removi...
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| Format: | Final Year Project (FYP) |
| Idioma: | English |
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Nanyang Technological University
2022
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| Accés en línia: | https://hdl.handle.net/10356/157768 |