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use matrix::Matrix;
use matrix::MatrixTrait;
use activation::Activation;
pub struct NeuralLayer {
pub activation: Box<Activation>,
pub inputs: usize,
pub neurons: usize,
pub weights: Matrix,
}
impl NeuralLayer {
pub fn new<T: 'static>(neurons: usize, inputs: usize, activation: T) -> NeuralLayer
where
T: Activation,
{
NeuralLayer {
activation: Box::new(activation),
inputs: inputs,
neurons: neurons,
weights: Matrix::random(inputs, neurons),
}
}
}
#[cfg(test)]
mod tests {
use nl::NeuralLayer;
use matrix::MatrixTrait;
use activation::Sigmoid;
#[test]
fn new_neural_layer() {
let test = NeuralLayer::new(4, 3, Sigmoid::new());
assert_eq!(3usize, test.inputs);
assert_eq!(4usize, test.neurons);
assert_eq!(3usize, test.weights.rows());
assert_eq!(4usize, test.weights.cols());
}
}