Metadata-Version: 2.2
Name: sigmoidNN
Version: 0.1
Summary: sigmoid neural network library
Home-page: https://github.com/Anas-github-Acc/NN-Library
Author: anas
Author-email: anas.ahamad955@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENCE
Requires-Dist: numpy
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

## SigmoidNN

# Overview

This Library implements a simple yet powerful **neural network** using scary mathematical operations, such as the sigmoid activation function, cross-entropy loss, and matrix operationsðŸ˜–. The network has been tested with the MNIST dataset of handwritten digits and achieved an **97.99% accuracy** with the chosen parameters.

You can customize the layers, activation functions, and data to train and test the network for your specific needs.

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# Documentation

```bash
from SigmoidNN import Network, 
```
