Machine learning: model compression techniques and deployment on Android platform
As Artificial Intelligence (AI) industry grows rapidly in recent years, many applications of deep learning are applied in mobile devices where resources are limited. Therefore, model compression and acceleration techniques are of great importance for achieving real-time requirements. In this study,...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/156646 |
| Summary: | As Artificial Intelligence (AI) industry grows rapidly in recent years, many applications of deep learning are applied in mobile devices where resources are limited. Therefore, model compression and acceleration techniques are of great importance for achieving real-time requirements. In this study, several classic model compression techniques are discussed and compared by their performance on image recognition task. Additionally, an Android application able to classify images is built. |
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