juggernaut

Crates.iojuggernaut
lib.rsjuggernaut
version0.9.0
sourcesrc
created_at2017-04-12 21:00:54.237577
updated_at2017-11-02 21:15:35.191178
descriptionNeural Network in Rust
homepagehttp://juggernaut.rs
repositoryhttps://github.com/afshinm/juggernaut
max_upload_size
id10437
size91,260
Afshin Mehrabani (afshinm)

documentation

README

Juggernaut Build Status Coverage Status

Juggernaut is an experimental Neural Network written in Rust

hi

Example

Want to setup a simple network using Juggernaut?

This sample creates a random binary operation network with one hidden layer:

fn main() {
    let dataset = vec![
        Sample::new(vec![0f64, 0f64, 1f64], vec![0f64]),
        Sample::new(vec![0f64, 1f64, 1f64], vec![0f64]),
        Sample::new(vec![1f64, 0f64, 1f64], vec![1f64]),
        Sample::new(vec![1f64, 1f64, 1f64], vec![1f64])
    ];
    
    let mut test = NeuralNetwork::new();

    let sig_activation = Sigmoid::new();

    // 1st layer = 2 neurons - 3 inputs
    test.add_layer(NeuralLayer::new(2, 3, sig_activation));

    // 2nd layer = 1 neuron - 2 inputs
    test.add_layer(NeuralLayer::new(1, 2, sig_activation));

    test.error(|err| {
        println!("error({})", err.to_string());
    });

    test.train(dataset, 1000, 0.1f64);
    
    let think = test.evaluate(Sample::predict(vec![1f64, 0f64, 1f64]));

    println!("Evaluate [1, 0, 1] = {:?}", think.get(0, 0));

}

and the output of think is the prediction of the network after training.

Documentation

https://docs.rs/juggernaut

Build

To build the demo, run:

cargo build --example helloworld --verbose

then to run the compiled file:

./target/debug/examples/helloworld

Test

Install Rust 1.x and run:

cargo test

Authors

and contributors

FAQ

Contributing

Fork the project and send PRs + unit tests for that specific part.

"Juggernaut"?

Juggernaut is a Dota2 hero and I like this hero. Juggernaut is a powerful hero, when he has enough farm.

License

GNU General Public License v3.0

Commit count: 146

cargo fmt