Explore regularization methods for CNNs in image classification. Categorize techniques into input, internal, and label methods. Results show improved performance and mitigated overfitting. Simple baseline model matches AlexNet's accuracy with fewer parameters. Aim to guide CNN optimization with effective regularization.
active 2024-04-03 → 2024-05-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 35 days from 2024-04-03 to 2024-05-07. Pushes: 62 total, peak 15 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
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- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| n99joon | 32 | 32 | 0 | 0 |
| AdilFayyaz | 15 | 15 | 0 | 0 |
| jswaite-usc | 8 | 8 | 0 | 0 |
| Matthew-Salaway | 7 | 7 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.