C4 W2 A1: Identity Block "Wrong values with training=False"

Course Q&A Deep Learning Specialization Convolutional Neural Networks
1

Here is my code. I get this error AssertionError Traceback (most recent call last)
in
22 print(np.around(A4.numpy()[:,(0,-1),:,:].mean(axis = 3), 5))
23
—> 24 public_tests.identity_block_test(identity_block)

/tf/W2A1/public_tests.py in identity_block_test(target)
38 [ 96.85619, 96.85619, 96.85619, 48.9281 ]],
39 [[578.1371, 578.1371, 578.1371, 290.56854],
—> 40 [290.56854, 290.56854, 290.56854, 146.78427]]]), atol = 1e-5 ), “Wrong values with training=False”
41
42 np.random.seed(1)

Please help me to fix

2

Please do not post your code on the Forums. The course Honor Code does no tallow it.

In the “Third component”, the Activation() layer is not the correct choice.

3

You also probably do not need “axis = 3”.

4

Thanks a lot! It helped me to fix my issue