Hi All, I have passed all the test but there is an error while putting it all together (model function). I am getting a Value error where the shape of the matrix are the reason for error but I am unable to figure which Variable is the cause of the problem. It would be helpful if anyone direct me to…

Ok, that’s wrong. What that means is that you will be using the default values for learning rate and number of iterations that were declared in the definition of the optimize function. That gives the same answer every time, regardless of what values are actually passed into the model function, right…

Hello @vishu_bandari , It’s important to analyze the error traceback because it can give us a lot of information in code debugging. It traced from the function that we call on the jupyter notebook, down to the call of the last function that really triggers the error, and in your case, we need to foc…

The worrying thing there is that it looks like you are transposing the input X matrix for some reason. If you look carefully at all the formulas that we are using, there should be no reason to do that. We need to transpose w in the propagate function, but there is nowhere that we transpose X, right? …

Hi @paulinpaloalto Thanks for the reply I’m Transposing X to flatten the X input matrix to a 1-dim array, for that I’m using this X_tr = X_train.reshape(X_train.shape[0], -1).T even if I change this to X_tr = X_train.reshape(X_train.shape[0], -1) I’m getting the same error [Screenshot 2023-…

You don’t need to “flatten” the X that is input to this test case. The only time we need to do the flattening is to convert the original 4D images to a 2D matrix. So dimensions of X are n_x (the number of “features”) x m (the number of samples). In this particular example that is 4 x 7. So there is…

@paulinpaloalto I have changed the w shape to (4x1) but still getting the same error [Screenshot 2023-01-07 at 12.35.48 AM]

It looks like you must have transposed X. The actual input is 4 x 7, so how did it end up being 7 x 4? I thought we already agreed that you don’t need to transpose X here.

Thanks for reply, this solved the problem. I am currently getting incorrect value of dw. [Screenshot 2023-01-07 at 12.34.56 PM]

That assertion is failing for the value of w, not dw. The usual cause for that type of error is not calling the optimize function correctly. Make sure you are not “hard-coding” any of the parameters like the learning rate and that you pass the values of all of them. There should be no “equal signs” …

How do I get the first version of the notebook, I have made too many changes to the notebook and just want to run the clean notebook

W2_A2_Ex-8 Value error due to shape of the matrix

Course Q&A Deep Learning Specialization Neural Networks and Deep Learning

paulinpaloalto January 10, 2023, 3:54pm 11

There is a topic about that on the DLS FAQ Thread.

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W2_A2_Ex-8 Value error due to shape of the matrix

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