Approximate implementations of neural networks
This research explores the application of approximate computing in neural networks, focusing on both classical models and the innovative Truth Table Nets (TTnet). The study aims to evaluate how approximation techniques can optimize computational efficiency without compromising the accuracy, a cru...
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| 其他作者: | |
| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
Nanyang Technological University
2024
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/181121 |
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