Hi,
I’m stuck on exercise no 5 and don’t know the issue with my code. I know we are not supposed to post any code so I’m wondering how can i request help. I have spent a couple hours trying to figure what’s wrong and feel I’m stuck and need some help here. I do not know whom to reach out to.

Please click my name and message your notebook as an attachment.
Do update your post with stacktrace / cell output (without sharing the actual code). It’s impossible for anyone to know what the problem is.

Google for more until at least you know why there is a requirement on what should be on the left hand side of the multiplication and what should be on the right hand side. For multiplication between two numbers, we can have them in either arrangement, but for matrix, there is a rule and we can’t do it at will.

There are a total of 4 ways to arrange the multiplication and the transpose, and only 2 ways will pass that rule, and you have asked about only one of the two ways.

This is all I can share and I will leave all the rest to you to figure out on your own.

Hi,
I know we cant multiply a 1 by 3 with another 1 by 3 matrix but had failed to understand the error. I now have correct value values for db and dw but incorrect value for the cost function. Any ideas on what could be wrong

Please note that a solid knowledge of basic linear algebra is a prerequisite for success here. If you are not familiar with how matrix multiplication works, you should put this course on “pause” and take a look at some linear algebra courses, e.g. the one from Khan Academy.

Here is a thread which shows some examples of how to use np.dot and transpose that may be relevant to this computation.

@Anurag_Jalan
You’ve sent me the notebook with the same error as shown in the stacktrace on this topic. Please read the links from Raymond & Paul to get a better idea on solving this error.
Moving forward without the knowledge of linear algebra and partial derivatives is not a good option.

@rmwkwok , @paulinpaloalto@balaji.ambresh Thanks for the guidance. I was taking transpose of Y. the solution was correct after I transposed A. When i multiply 31 matrix with a 13 matrix i get a 33 matrix and get a 11 if i flip the order. Why is it ok to transpose the ln(A) and ln(1-A) matrices and not vice versa. What is the linear algebra equivalent if we transpose Y instead? In other words, why is not ok to transpose Y?
Also the output did not change even when i commented this code: cost = np.squeeze(np.array(cost))

That was all explained and demonstrated on the thread that I linked earlier. If you missed that the first time around, it is worth a look.

But it fundamentally comes down to understanding what the operations mean. It will be clear why y^T \cdot log(a) is not the same thing as y \cdot log(a)^T if you examine the examples given on that thread.