Vexus

A neural network builder and trainer to make your own AI models.

Features

• Feed-forward neural network
• Backpropagation learning
• Configurable layer sizes
• Sigmoid activation function
• Save/load functionality

Installation

Add this to your Cargo.toml:

cargo add vexus

Quick Start

XOR Predictor

use neural_network::NeuralNetwork;

fn main() {
    // Create a neural network with:
    // - 2 input neurons
    // - 4 hidden neurons
    // - 1 output neuron
    let mut nn = NeuralNetwork::new(vec![2, 4, 1], 0.1);

    // Training data for XOR function
    let training_data = vec![
        (vec![0.0, 0.0], vec![0.0]),
        (vec![0.0, 1.0], vec![1.0]),
        (vec![1.0, 0.0], vec![1.0]),
        (vec![1.0, 1.0], vec![0.0]),
    ];

    // Train the network
    for _ in 0..10000 {
        for (inputs, expected) in &training_data {
            nn.forward(inputs.clone());
            let outputs = nn.get_outputs();
            let errors = vec![expected[0] - outputs[0]];
            nn.backwards(errors);
        }
    }

    // Test the network
    nn.forward(vec![1.0, 0.0]);
    println!("1 XOR 0 = {:.2}", nn.get_outputs()[0]); // Should be close to 1.0
}

Run Examples

cargo run --example xor

cargo run --example sine_waves

Todo

• Add mutation
• Implement different activation functions
  • ReLU
  • Tanh
  • Sigmoid
• Add save/load functionality
• Add documentation
• Add more examples

License

MIT