diff --git a/src/main.nim b/src/main.nim
index c316786..e4cd191 100644
--- a/src/main.nim
+++ b/src/main.nim
@@ -8,4 +8,3 @@ var mlp = newNeuralNetwork(@[newDenseLayer(2, 3, Sigmoid),
                            lossFunc=MSE, learnRate=0.05, momentum=0.55,
                            weightRange=(start: -1.0, stop: 1.0), biasRange=(start: -1.0, stop: 1.0))
 echo mlp.feedforward(newMatrix[float](@[1.0, 2.0]))
-
diff --git a/src/nn/network.nim b/src/nn/network.nim
index 47c2a38..336e87a 100644
--- a/src/nn/network.nim
+++ b/src/nn/network.nim
@@ -98,7 +98,7 @@ proc newDenseLayer*(inputSize: int, outputSize: int, activationFunc: Activation)
 proc newNeuralNetwork*(topology: seq[Layer], lossFunc: Loss, learnRate: float, momentum: float,
                        weightRange, biasRange: tuple[start, stop: float]): NeuralNetwork =
     ## Initializes a new neural network with
-    ## the given topology and iperparameters.
+    ## the given topology and hyperparameters.
     ## Weights and biases are initialized with 
     ## random values in the chosen range
     new(result)