#neural-network #learning #nn #nalgebra #weight #manipulate #brain

only-brain

A simple Neural Network library, without the learning part

5 releases

0.1.4 Dec 13, 2023
0.1.3 Dec 4, 2023
0.1.2 Dec 4, 2023
0.1.1 Dec 4, 2023
0.1.0 Dec 4, 2023

#695 in Machine learning

42 downloads per month

MIT license

15KB
208 lines

Only Brain

A very simple Neural Network library built in Rust with the objective to allow the user to create, manipulate and train a neural network directly. The user has direct access to weights and biases of the network, allowing they to manipulate the NN as wanted.

Usage

use no_brain::NeuralNetwork;
use nalgebra::dmatrix;
use nalgebra::dvector;

fn main() {
    let mut nn = NeuralNetwork::new(&vec![2, 2, 1]);

    nn.set_layer_weights(1, dmatrix![0.1, 0.2;
                                     0.3, 0.4]);
    nn.set_layer_biases(1, dvector![0.1, 0.2]);

    nn.set_layer_weights(2, dmatrix![0.9, 0.8]);
    nn.set_layer_biases(2, dvector![0.1]);

    let input = vec![0.5, 0.2];
    let output = nn.feed_forward(&input);

    println!("{:?}", output);
}

lib.rs:

No Brain

A very simple Neural Network library built in Rust with the objective to allow the user to create, manipulate and train a neural network directly. The user has direct access to weights and biases of the network, allowing him to implement his own training methods.

Example

use no_brain::NeuralNetwork;
use nalgebra::dmatrix;
use nalgebra::dvector;

fn main() {
    let mut nn = NeuralNetwork::new(&vec![2, 2, 1]);

    nn.set_layer_weights(1, dmatrix![0.1, 0.2;
                                     0.3, 0.4]);
    nn.set_layer_biases(1, dvector![0.1, 0.2]);

    nn.set_layer_weights(2, dmatrix![0.9, 0.8]);
    nn.set_layer_biases(2, dvector![0.1]);

    let input = vec![0.5, 0.2];
    let output = nn.feed_forward(&input);

    println!("{:?}", output);
}

Dependencies

~4.5MB
~89K SLoC