Machine learning: model compression techniques and deployment on Android platform

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,...

Full description

Saved in:
Bibliographic Details
Main Author: Jin, Chengkai
Other Authors: Jun Zhao
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/156646
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-156646
record_format dspace
spelling sg-ntu-dr.10356-1566462022-04-22T00:03:56Z Machine learning: model compression techniques and deployment on Android platform Jin, Chengkai Jun Zhao School of Computer Science and Engineering junzhao@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision 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. Bachelor of Engineering (Computer Science) 2022-04-22T00:03:56Z 2022-04-22T00:03:56Z 2022 Final Year Project (FYP) 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 https://hdl.handle.net/10356/156646 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Jin, Chengkai
Machine learning: model compression techniques and deployment on Android platform
description 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.
author2 Jun Zhao
author_facet Jun Zhao
Jin, Chengkai
format Final Year Project
author Jin, Chengkai
author_sort Jin, Chengkai
title Machine learning: model compression techniques and deployment on Android platform
title_short Machine learning: model compression techniques and deployment on Android platform
title_full Machine learning: model compression techniques and deployment on Android platform
title_fullStr Machine learning: model compression techniques and deployment on Android platform
title_full_unstemmed Machine learning: model compression techniques and deployment on Android platform
title_sort machine learning: model compression techniques and deployment on android platform
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/156646
_version_ 1731235751113261056

Similar Items