Can some one please help me with this, I am stuck here----> GRADED FUNCTION: model def model(X_train, Y_train, X_test, Y_test, num_iterations=2000, learning_rate=0.5, print_cost=False): # mentor edit: code removed I get an error → in predict(w, b, X) 16 m = X.shape[1] 17 Y_prediction …

Hi @sufiyan.saqib , I would check the shape of w prior the reshape operation: print(w.shape) print(w) Check if the above outputs are consistent with what you would expect for w. Note that if you’ve pasted your actual code it is incomplete, for example, you haven’t initialized w and b.

The mistake i was doing was using :- w = params[“w”] b = params[“b”] Where as :- w = parameters[“w”] b = parameters[“b”], was supposed to be used. This was giving me the shape error

Hi ! have you seen this error message before? TypeError Traceback (most recent call last) in 1 from public_tests import * 2 ----> 3 model_test(model) ~/work/release/W2A2/public_tests.py in model_test(target) 123 y_test = np.array([[0, 1, 0]]) 124 → 125 …

Yes! I didn’t use a string on the dic, figure it out shortly after, thank you for taking the time to review the error message !

Week 2 _Final Assignment _ Merge All functions in the Model

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

saifkhanengr December 6, 2024, 5:26am 5

The error comes from these two lines. You should use w and b as a string. Using double quotes (") or single quotes (') will help.

Week 2 - Exercise 8

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(Week 2 assignment) Merge all functions into a model Neural Networks and Deep Learning coursera-platform	2	619	September 5, 2021
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Week 2 _Final Assignment _ Merge All functions in the Model

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