Module 2 Week 3 unable to compute compute_total_loss

Course Q&A Deep Learning Specialization Improving Deep Neural Networks: Hyperparameter tun
1

Hi I am stuck computing the total_loss function

I tried multiple options but failed, below is my last variant

{moderator edit - solution code removed}

it gives the error

tf.Tensor(40.436035, shape=(), dtype=float32)
---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
<ipython-input-32-0a8e136fceea> in <module>
     17     print("\033[92mAll test passed")
     18 
---> 19 compute_total_loss_test(compute_total_loss, new_y_train )

<ipython-input-32-0a8e136fceea> in compute_total_loss_test(target, Y)
     13     print(result)
     14     assert(type(result) == EagerTensor), "Use the TensorFlow API"
---> 15     assert (np.abs(result - (0.50722074 + 1.1133534) / 2.0) < 1e-7), "Test does not match. Did you get the reduce sum of your loss functions?"
     16 
     17     print("\033[92mAll test passed")

AssertionError: Test does not match. Did you get the reduce sum of your loss functions?

Expected output

tf.Tensor(0.810287, shape=(), dtype=float32)

Can you please hint what I am missing ?

2

nevermind, found the problem, I misplaced the parameters logits and labels

3

I am glad you found your own mistake. Kindly delete the code you shared as this is against the community Honor Code.

Best,
Saif.