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https://github.com/xaxm007/nn-numpy
A Basic Logistic Regression Neural Network using NumPy and calculus.
https://github.com/xaxm007/nn-numpy
critical-indulgence logistic-regression neural-network numpy study
Last synced: about 1 month ago
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A Basic Logistic Regression Neural Network using NumPy and calculus.
- Host: GitHub
- URL: https://github.com/xaxm007/nn-numpy
- Owner: xaxm007
- Created: 2024-04-27T09:59:45.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-11-07T15:59:15.000Z (3 months ago)
- Last Synced: 2024-11-07T16:47:32.440Z (3 months ago)
- Topics: critical-indulgence, logistic-regression, neural-network, numpy, study
- Language: Python
- Homepage:
- Size: 7.81 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# NN-Numpy
An implementation of a simple neural network using NumPy, focusing on logistic regression and calculus-based derivations.
## Overview
This neural network has two layers:
- **Input Layer:** 3 units
- **Hidden Layer:** 4 units
- **Output Layer:** 1 unitThe project demonstrates the use of NumPy for building and training a neural network from scratch, without relying on external machine learning libraries.
---
## Implementation
1. Navigate to project directory:
```bash
pip install numpy
```
2. To train the neural network, run the main script:
```bash
python LogisticRegression.py
```---
## Contributors:
Derivations and code by:
- [Saksham M.](https://github.com/xaxm007)
- [Aavash A.](https://github.com/AaVaSh77)
- [Ashish K.P.](https://github.com/ayyp1)## #Note:
First session on [Critical-Indulgence](https://github.com/xaxm007/Critical-Indulgence).