Stuck on C2W3 Assignment: Cost Function

Course Q&A Deep Learning Specialization Improving Deep Neural Networks: Hyperparameter tun
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It looks like there are (at least) two problems:

  1. You missed the fact that the labels and logits need to be transposed. Here is a thread with a checklist for this function. Here’s a thread which explains why the transpose is required.
  2. There is an extra dimension on one of your tensors. I assume it’s the labels tensor, since it’s the first operand. Note that the new_y_train value is generated by calling your earlier one_hot_matrix function. So this may indicate a problem with that function that somehow was not caught by the test cases.

I added print statements to my compute_total_loss code to show the shapes of the inputs before any processing of them (e.g. transpose) and here’s what I see:

labels [[0. 1.]
 [0. 0.]
 [0. 0.]
 [0. 0.]
 [0. 0.]
 [1. 0.]]
before logits.shape (6, 2)
before labels.shape (6, 2)
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