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.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/158293 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
|---|