Machine Learning with C

A collection of simple machine learning examples and logic gates, showcasing how to implement basic neural computations in the C language.

Contents

• Overview
• File Descriptions
• Build & Run
• Project Structure
• License

Overview

This project explores neural operations, gradient descent, and logic gate training (AND, OR, NAND, XOR). Written in C, it demonstrates fundamental ML principles at a low-level.

File Descriptions

• nn.c / nn.h
  Demonstrates basic matrix operations (allocation, filling, summation).
• xor.c
  Implements a XOR network using multiple gates (OR, NAND, AND) combined.
• gates.c
  Trains standalone logic gates (NAND, AND, OR) using gradient descent.
• twice.c
  Learns a simple linear function (y=2x).
• build.sh
  Shell script compiling executables (clang).
• .gitignore
  Ignored files and directories.

Build & Run

Clone this repo:

git clone https://github.com/your-username/machine-learning-with-C.git
cd machine-learning-with-C

📂 Project Structure

machine-learning-with-C
├── README.md         # Project documentation
│   └── Updated with new features and usage examples
│   └── Oct 29, 2024: Update README.md
├── build.sh          # Script to compile the project
│   └── Oct 29, 2024: Xor gate finished with full operationality
├── gates/            # Directory for gate implementations
│   └── Oct 17, 2024: Made OR, AND, NAND gates workable with single neuron
├── gates.c           # Core logic for OR, AND, NAND gates
│   └── Oct 17, 2024: Made OR, AND, NAND gates workable with single neuron
├── twice/            # Directory for twin neuron and OR-gate functions
│   └── Oct 16, 2024: Added OR-gate and twin neuron functionality with minor fixes
├── twice.c           # Logic for twin neurons and OR-gate functions
│   └── Oct 16, 2024: Added OR-gate and twin neuron functionality with minor fixes
├── xor/              # Directory for XOR gate implementation
│   └── Oct 29, 2024: XOR gate finished with full operationality
├── xor.c             # XOR gate logic
│   └── Oct 29, 2024: XOR gate finished with full operationality

🎯 Future Work

Implement more complex neural networks
Expand gate compatibility testing for multi-layered logic gates
Add support for additional machine learning concepts, such as XOR gate and simple backpropagation

🤝 Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or feature additions.

📄 License

All rights reserved. Any usage, distribution, or modification of this project, in whole or in part, is prohibited without explicit permission from the original author.