Help with the final exercise of Course 2 of DL Specialization

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

{moderator edit - solution code removed}

Why is it throwing me the same assertion error?

Test 1: tf.Tensor(0.17102128, shape=(), dtype=float32)

AssertionError Traceback (most recent call last)
in
25 print(“\033[92mAll test passed”)
26
—> 27 compute_total_loss_test(compute_total_loss, new_y_train )

in compute_total_loss_test(target, Y)
13 print("Test 1: ", result)
14 assert(type(result) == EagerTensor), “Use the TensorFlow API”
—> 15 assert (np.abs(result - (0.50722074 + 1.1133534) / 2.0) < 1e-7), “Test 1 does not match. Did you get the reduce sum of your loss functions?”
16
17 ### Test 2

AssertionError: Test 1 does not match. Did you get the reduce sum of your loss functions?

Trying to figure out the issue from past 1 hour.

2

Here is the checklist to read.

PS:Sharing your code in a public thread is not allowed. Kindly delete it

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