diff --git a/Convolutional Neural Networks/week1/convolution_model.py b/Convolutional Neural Networks/week1/convolution_model.py
index 1415e29..24f13be 100644
--- a/Convolutional Neural Networks/week1/convolution_model.py	
+++ b/Convolutional Neural Networks/week1/convolution_model.py	
@@ -99,7 +99,7 @@ def conv_forward(A_prev, W, b, hparameters):
     A_prev_pad = zero_pad(A_prev, pad)
 
     for i in range(m):  # loop over the batch of training examples
-        a_prev_pad = A_prev[i]  # Select ith training example's padded activation
+        a_prev_pad = A_prev_pad[i]  # Select ith training example's padded activation
         for h in range(n_H):  # loop over vertical axis of the output volume
             for w in range(n_W):  # loop over horizontal axis of the output volume
                 for c in range(n_C):  # loop over channels (= #filters) of the output volume
@@ -380,4 +380,4 @@ def pool_backward(dA, cache, mode="max"):
     # Making sure your output shape is correct
     assert (dA_prev.shape == A_prev.shape)
 
-    return dA_prev
\ No newline at end of file
+    return dA_prev