diff --git a/mlp.py b/mlp.py
index 87734d9b7c3933efc23cafebf35231ac3e410d06..5042a8c39f3d24fdea80e8821dafd0494c3ed6e9 100644
--- a/mlp.py
+++ b/mlp.py
@@ -23,7 +23,7 @@ def learn_once_mse(w1, b1, w2, b2, data, targets, learning_rate):
     a1 = sigmoid(z1)  # output of the hidden layer (sigmoid activation function)
     z2 = np.matmul(a1, w2) + b2  # input of the output layer
     a2 = sigmoid(z2)  # output of the output layer (sigmoid activation function)
-    predictions = a2  # the predicted values are the outputs of the output layer
+    predictions = a2  # the predicted values ar the outputs of the output layer
 
     # Compute loss (MSE)
     loss = np.mean(np.square(predictions - targets))