Week 2 assignment 1

{mentor edit: code removed}

i am getting
Wrong values when training=False. as error,

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—> 14 assert np.allclose(A.numpy(), convolutional_block_output1), “Wrong values when training=False.”
15 print(A[0])

AssertionError: Wrong values when training=False.

I am also getting similar kind of error

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I think the batch normalization for X_shortcut should use X_shortcut from the Conv2D layer, not X.


Also, I have edited your post to remove the code, since posting your code is not allowed by the Honor Code.

ohh! sorry i didn’t know that

it still didm’t work

i got the same prob even after fixing x and x_shortcut

I have the same error, I fixed by change input_data is X to X_shortcut in #SHORTCUT PATH, it works for me.


Thanks a lot man! This was such a silly error I spent hours trying to debug :sweat_smile:

Wonderful! u saved us all a lot of headache