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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

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A Basic Logistic Regression Neural Network using NumPy and calculus.

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# 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 unit

The 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).