Back Propagation Neural Network, BPNet, is a full-connected multilayer network which uses stochastic gradient descent based back propagation algorithm for optimization. This project gives a deeply comprehensive mathematical derivation based on Jacobia matrix, and a corresponding python code implementation.
active 2024-12-07 → 2025-03-22 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 106 days from 2024-12-07 to 2025-03-22. Pushes: 9 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
- Comments
- 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 |
|---|---|---|---|---|
| Volcano-X | 9 | 9 | 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.