OmBaval/Neural-Network-from-scratch-without-TensorFlow-PyTorch
View on GitHub ↗Related repositories →This repository features a simple two-layer neural network trained on the MNIST dataset using Python and NumPy. It covers data preprocessing, forward and backward propagation, gradient descent for parameter updates, and model evaluation, offering an educational exploration of neural networks without external frameworks.
active 2024-05-14 → 2025-03-01 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 292 days from 2024-05-14 to 2025-03-01. Pushes: 4 total, peak 2 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: 4 total, peak 1 in a day.
- Pushes
- Pull requests
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| OmBaval | 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 — 4 stars here means stars gained during the window, not the repo's star count.