diff --git a/neural_network/simple_neural_network.py b/neural_network/simple_neural_network.py
index 9fc085ab2b0f..fcc661fc6f88 100644
--- a/neural_network/simple_neural_network.py
+++ b/neural_network/simple_neural_network.py
@@ -21,15 +21,12 @@ def sigmoid_function(value: float, deriv: bool = False) -> float:
     return 1 / (1 + math.exp(-value))
 
 
+def elementwise_multiply(value, array):
+    return [value * x for x in array]
+
 # Initial Value
 INITIAL_VALUE = 0.02
 
-
-def forward_propagation(expected, number_propagations):
-    # Random weight initialization
-    weight = 2 * (random.random() - 0.5)
-
-
 def forward_propagation(expected: int, number_propagations: int) -> float:
     """Return the value found after the forward propagation training.