Deep learning with constrained data resource
This report provides a solution to solve the few samples learning (FSL) problems. The method can achieve a better accuracy compared to simple full-supervised learning methods, especially the problem becomes to a one-shotting problem.
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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/10356/158293 |
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author | Mao, Jiangtian |
author2 | Xie Lihua |
author_facet | Xie Lihua Mao, Jiangtian |
author_sort | Mao, Jiangtian |
collection | NTU |
description | This report provides a solution to solve the few samples learning (FSL) problems. The
method can achieve a better accuracy compared to simple full-supervised learning
methods, especially the problem becomes to a one-shotting problem. |
first_indexed | 2024-10-01T07:55:32Z |
format | Final Year Project (FYP) |
id | ntu-10356/158293 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T07:55:32Z |
publishDate | 2022 |
publisher | Nanyang Technological University |
record_format | dspace |
spelling | ntu-10356/1582932023-07-07T18:55:23Z Deep learning with constrained data resource Mao, Jiangtian Xie Lihua School of Electrical and Electronic Engineering ELHXIE@ntu.edu.sg Engineering::Electrical and electronic engineering This report provides a solution to solve the few samples learning (FSL) problems. The method can achieve a better accuracy compared to simple full-supervised learning methods, especially the problem becomes to a one-shotting problem. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-31T07:55:20Z 2022-05-31T07:55:20Z 2022 Final Year Project (FYP) Mao, J. (2022). Deep learning with constrained data resource. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158293 https://hdl.handle.net/10356/158293 en application/pdf Nanyang Technological University |
spellingShingle | Engineering::Electrical and electronic engineering Mao, Jiangtian Deep learning with constrained data resource |
title | Deep learning with constrained data resource |
title_full | Deep learning with constrained data resource |
title_fullStr | Deep learning with constrained data resource |
title_full_unstemmed | Deep learning with constrained data resource |
title_short | Deep learning with constrained data resource |
title_sort | deep learning with constrained data resource |
topic | Engineering::Electrical and electronic engineering |
url | https://hdl.handle.net/10356/158293 |
work_keys_str_mv | AT maojiangtian deeplearningwithconstraineddataresource |