Method optimize

src/nn.rs:119–129

(&self, x: &Matrix<f64>, labels: &Matrix<f64>, p: OptParams<f64>)

    }

    pub fn optimize(&self, x: &Matrix<f64>, labels: &Matrix<f64>, p: OptParams<f64>) -> NeuralNetwork {

        let a = p.alpha.unwrap();
        let mut n = self.clone();

        for _ in (0..p.iter.unwrap()) {
            let v = n.derivatives(x, labels).iter().map(|x| x.mul_scalar(-a)).collect::<Vec<_>>();
            n.update_params(&v);
        }
        n
    }

    fn feedforward(&self, x: &[f64]) -> (Vec<Vec<f64>>, Vec<Vec<f64>>) {