A collection of neural network implementations and soft computing algorithms
Project description
Neural Networks Toolkit
A comprehensive collection of neural network implementations and soft computing algorithms.
Features
- Backpropagation algorithms
- Hopfield Networks
- Kohonen Self-Organizing Maps (SOM)
- Perceptron implementations
- Radial Basis Function Networks
- Genetic Algorithms
- Fuzzy logic implementations
- And more!
Installation
From source
pip install .
From GitHub (after uploading)
pip install git+https://github.com/yourusername/neural-networks-toolkit.git
Usage
from neural_networks_toolkit import backpropagation, hopfield_network
# Use the modules as needed
Requirements
- Python >= 3.7
- See requirements.txt for dependencies
License
MIT License
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