https://github.com/anuuragg/numpyneuralnet
https://github.com/anuuragg/numpyneuralnet
machine-learning matplotlib neural-network numpy pandas
Last synced: 5 months ago
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- Host: GitHub
- URL: https://github.com/anuuragg/numpyneuralnet
- Owner: anuuragg
- Created: 2024-09-15T09:18:08.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-15T09:46:53.000Z (almost 2 years ago)
- Last Synced: 2025-04-05T21:44:45.945Z (about 1 year ago)
- Topics: machine-learning, matplotlib, neural-network, numpy, pandas
- Language: Jupyter Notebook
- Homepage:
- Size: 99.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# NumpyNeuralNet
This repository contains code for a simple machine learning model that uses linear regression along with a sigmoid activation function. The model is trained on a randomly generated dataset and is designed to classify data points. The training process involves gradient descent to optimize weights and biases, with cross-entropy loss guiding the updates.
## Getting Started
### Prerequisites
This code requires the following Python libraries:
* numpy
* pandas
You can install them using pip:
```bash
pip install numpy pandas matplotlib.pyplot
```
Clone the repository:
```bash
git clone https://github.com/anuuragg/NumpyNeuralNet.git
```
Run the script:
```bash
python main.py
```