Hardware-constrained edge deep learning
Neural Networks have become commonplace in our daily lives, powering everything from language models in chatbots to computer vision models in industrial machinery. The unending quest for greater model performance has led to an exponential growth in model size. For many devices, especially edge dev...
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| 格式: | Final Year Project |
| 語言: | English |
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Nanyang Technological University
2024
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| 在線閱讀: | https://hdl.handle.net/10356/181190 |
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| 機構: | Nanyang Technological University |
| 語言: | English |