Week 2 assignment 1

[pragyan]

{mentor edit: code removed}

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

[Kartik_minhas]

—> 14 assert np.allclose(A.numpy(), convolutional_block_output1), “Wrong values when training=False.”
15 print(A[0])
16

AssertionError: Wrong values when training=False.

I am also getting similar kind of error

[TMosh]

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

[TMosh]

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

[pragyan]

ohh! sorry i didn’t know that

[pragyan]

it still didm’t work

[Malek97X]

i got the same prob even after fixing x and x_shortcut

[LoiLN]

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

[Sakshi_Bhatia]

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

[mrgransky]

Wonderful! u saved us all a lot of headache