Week 2 Exercise 7 Prediction Assertion error

Course Q&A Deep Learning Specialization Neural Networks and Deep Learning
1

My error: No idea where I am going wrong. All above tests looks ok.
Need help.

predictions = [[1. 0. 0.]]

AssertionError Traceback (most recent call last)
in
4 print ("predictions = " + str(predict(w, b, X)))
5
----> 6 predict_test(predict)

~/work/release/W2A2/public_tests.py in predict_test(target)
100 assert pred.shape == (1, X.shape[1]), f"Wrong shape for pred. {pred.shape} != {(1, X.shape[1])}"
101 assert np.bitwise_not(np.allclose(pred, [[1., 1., 1]])), f"Perhaps you forget to add b in the calculation of A"
→ 102 assert np.allclose(pred, [[1., 0., 1]]), f"Wrong values for pred. {pred} != {[[1., 0., 1.]]}"
103
104 print(‘\033[92mAll tests passed!’)

AssertionError: Wrong values for pred. [[1. 0. 0.]] != [[1.0, 0.0, 1.0]]

2

Please remember to compute the sigmoid of w^{T} \cdot X + b since we’re dealing with logistic regression.

3

Code Deleted

4

Congrats on solving the exercise.

Posting code in a public topic is discouraged and can get your account suspended. It’s okay to share stacktrace on a public post and send code to a mentor via direct message. Please clean up your previous reply.

5

Hi Ambresh,

I will send code directly to Mentor.
Thanks for notifying me.

Thanks
Rupesh Kumar

6

Thanks for removing your code.

If there are still problems with the exercise, please click my name and message your notebook as an attachment.

7

return Y_prediction is not properly indented. As a result, the prediction will be returned after the 1st entry gets filled. Please fix this.