kashyaparun25/MNIST-Handwritten-Digit-Classification-Using-Neural-Networks
View on GitHub ↗Related repositories →Develop a neural network for MNIST digit recognition, including steps like data download, preprocessing, network setup, feedforward, backpropagation, training, and evaluation. The process involves image normalization, label one-hot encoding, and building a two-layer network for digit classification.
active 2023-12-22 → 2023-12-22 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-12-22 to 2023-12-22. 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
- 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 |
|---|---|---|---|---|
| kashyaparun25 | 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.