Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156646
Title: Machine learning: model compression techniques and deployment on Android platform
Authors: Jin, Chengkai
Keywords: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Jin, C. (2022). Machine learning: model compression techniques and deployment on Android platform. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156646
Abstract: 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.
URI: https://hdl.handle.net/10356/156646
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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