Neural Network Go is a project built from scratch in Go (Golang) that demonstrates the implementation of a basic neural network. This project is designed to provide a clear and concise example of how neural networks can be constructed and trained using Go, focusing on simplicity and educational value. It includes basic functionality making it a great starting point for anyone interested in understanding neural networks and exploring machine learning concepts in Go.

• Forward Propagation [Implemented]
• Backward Propagation [Implemented]
• Training on Sample Datasets [Implemented]

• Running the Example
• To Build
• Contributing

To run the example, execute the following command in your terminal:

make run

To build the project, execute the following command in your terminal:

make build

Contributions are welcome! Please follow these steps to contribute:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Push your changes to your fork.
5. Submit a pull request.

• Asif Mohammad Mollah

This project is licensed under the MIT License - see the LICENSE file for details.