This project classifies water bottle brands using neural networks. It includes three classifiers: Dense layers (90% validation accuracy) Dense and convolutional layers (93% validation accuracy) Pre-trained neural network (95% validation accuracy) Deliverables: Code, dataset, and a report. Deadline: June 17, 2024.
active 2024-06-21 → 2024-06-21 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-06-21 to 2024-06-21. Pushes: 4 total, peak 4 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: 0 total, peak 0 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 |
|---|---|---|---|---|
| ergishasani | 4 | 4 | 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 — 0 stars here means stars gained during the window, not the repo's star count.