diff --git a/src/layers/fc_layer.rs b/src/layers/fc_layer.rs
index 73150e2..cac8209 100644
--- a/src/layers/fc_layer.rs
+++ b/src/layers/fc_layer.rs
@@ -74,25 +74,6 @@ impl Layer for FCLayer {
     }
 
     fn backward_pass(&mut self, output_error: ArrayView1<f64>, learning_rate: f64) -> Array1<f64> {
-        //let input_error = output_error.dot(&self.weights.clone().reversed_axes());
-        /* let input_error = stack(Axis(0), &vec![output_error; self.num_neurons]).unwrap().dot(&self.weights.clone().reversed_axes());
-        
-        // let weights_error = self.input.clone().into_shape((1 as usize, self.num_neurons as usize)).unwrap().dot(&output_error);
-        // let weights_error = self.input.clone().reversed_axes().dot(&output_error);
-        // let mut weights_error = self.input.clone();
-        // weights_error.zip_mut_with(&output_error, |x, y| *x *= y);
-        let weights_error = self.input.clone().t().dot(&output_error.broadcast((self.input.len(),)).unwrap());
-
-        self.weights = &self.weights + learning_rate * weights_error;
-        self.biases = &self.biases + learning_rate * &output_error;
-        let len = input_error.len();
-        let a = input_error.into_shape((len, )).unwrap();
-        a */
-        /* let delta_weights = &self.output.t() * &output_error;
-        let delta_biases = output_error.sum_axis(Axis(0));
-        self.weights = &self.weights + learning_rate * delta_weights;
-        self.biases = &self.biases + learning_rate * delta_biases;
-        output_error.dot(&self.weights.t()) */
         let input_error = output_error.dot(&self.weights.t());
         let delta_weights = 
             self.input.to_owned().into_shape((self.input.len(), 1usize)).unwrap()