🧠 Neural Network From Scratch with Real-Time Visualization (C + Allegro)

This project implements a simple neural network from scratch in C. It learns to approximate basic target functions through supervised learning, using gradient descent and backpropagation. What makes this project unique is its real-time graphical visualization using the Allegro graphics library.

🚀 Features

🧩 Fully custom neural network implementation in C (no external ML libraries)

📈 Live training visualization, including:

- 🔵 Left side: graph showing target values vs. predicted values

- 🧮 Top-right: automatic graph of mean error over iterations

- 🕸️ Bottom: dynamic visualization of the neural network itself (node color reflects activation values)

🛠️ Simple training on arbitrary datasets (hardcoded on a .txt)

📦 Dependencies

⚙️Allegro 5 (graphics library)

📝 How to Build

You’ll need a C compiler and Allegro 5 installed. Training happens in real-time — you can see the network learn.

P.S.

✍️ I coded this in 2023-2024 so it is not so well optimized !