Hi there, I am stuck at the function propagate and it seems I am not the only one. This is what I tried: def propagate(w, b, X, Y): m = X.shape[1] A = sigmoid(np.dot(w.T,X)+b) loga = np.log(A) log1minusa = np.log(1-A) logpart1 = np.dot(Y.T,loga) logpart2 = np.dot((1-Y).T,log1minusa) cost = …

Thank you Paulinpaloalto, indeed after several retries, I obtained the fresh copy of the public_tests.py I corrected another mistake and finally got it to work as required.

Stuck at function propagate in exercice 5 week2

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

paulinpaloalto July 27, 2021, 9:25pm 3

Please have a look at this thread which shows examples about how to use transpose in computations like the cost formula here.

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Stuck at function propagate in exercice 5 week2

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