I have written the code 15 times and could not find the error

It gives me this error

AssertionError Traceback (most recent call last)
in
12 assert type(A) == EagerTensor, “Use only tensorflow and keras functions”
13 assert tuple(tf.shape(A).numpy()) == (3, 2, 2, 6), “Wrong shape.”
—> 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.

Which week and assignment?

week 2 assignment 1 I

In the shortcut path, the batch normalization should use X_shortcut, not X.

Please edit your original message and remove the code. This will clear you of the Honor Code (which says students cannot post their code on the Forums).

still its giving me the same error even though I have change to X_shortcut

Hopefully you used “X_shortcut”, not “X_shotcut”.
Be sure you re-run the cell after you modify it.

Thank u for the solution