# Course 1 - Week 3 - Programming Assignment **URL:** \ **Category:** Neural Networks and Deep Learning\ **Tags:** coursera-platform\ **Created:** [August 17, 2022, 3:23am UTC](https://community.deeplearning.ai/t/course-1-week-3-programming-assignment/187069 "2022-08-17T03:23:46Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![Juan\_Olano](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/juan_olano/32/27125_2.png) [@Juan\_Olano](https://community.deeplearning.ai/u/Juan_Olano)\ **Post date:** [August 17, 2022, 3:23am UTC](https://community.deeplearning.ai/t/course-1-week-3-programming-assignment/187069/1 "2022-08-17T03:23:46Z")
Hi! For the life of mine, I have no idea why I am getting this error in the def initialize\_parameters. Error below. The line that seems failing is the simplest one: W1 = np.random.rand(n\_h, n\_x) \* 0.01 There is no way to get that wrong, and still the resulting values are rejected by the test. I have done a ‘reload’ of the .py files already with the most current ones, so I assume that I am running the latest version of the assignment. Any clue? Thank you very much! ## W1 = [[0.00435995 0.00025926] [0.00549662 0.00435322] [0.00420368 0.00330335] [0.00204649 0.00619271]] b1 = [[0.] [0.] [0.] [0.]] W2 = [[0.00299655 0.00266827 0.00621134 0.00529142]] b2 = [[0.]] AssertionError Traceback (most recent call last) in 8 print("b2 = " + str(parameters[“b2”])) 9 —\> 10 initialize\_parameters\_test(initialize\_parameters) ~/work/release/W3A1/public\_tests.py in initialize\_parameters\_test(target) 57 assert parameters[“b2”].shape == expected\_output[“b2”].shape, f"Wrong shape for b2." 58 —\> 59 assert np.allclose(parameters[“W1”], expected\_output[“W1”]), “Wrong values for W1” 60 assert np.allclose(parameters[“b1”], expected\_output[“b1”]), “Wrong values for b1” 61 assert np.allclose(parameters[“W2”], expected\_output[“W2”]), “Wrong values for W2” AssertionError: Wrong values for W1 Expected output W1 = [[-0.00416758 -0.00056267] [-0.02136196 0.01640271] [-0.01793436 -0.00841747] [0.00502881 -0.01245288]] b1 = [[0.] [0.] [0.] [0.]] W2 = [[-0.01057952 -0.00909008 0.00551454 0.02292208]] b2 = [[0.]] All tests passed! ---
**Author:** ![Mubsi](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/mubsi/32/94983_2.png) [@Mubsi](https://community.deeplearning.ai/u/Mubsi)\ **Post date:** [August 17, 2022, 4:12pm UTC](https://community.deeplearning.ai/t/course-1-week-3-programming-assignment/187069/2 "2022-08-17T16:12:31Z")
Hi @Juan_Olano, You are using the `rand` function. If you pay close attention to the `instructions`, you’ll see that it mentions to use the `randn`, this is a subtle, but a big, and might I add, an annoying, difference 😂 Best, Mubsi ---
**Author:** ![Juan\_Olano](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/juan_olano/32/27125_2.png) [@Juan\_Olano](https://community.deeplearning.ai/u/Juan_Olano)\ **Post date:** [August 17, 2022, 4:27pm UTC](https://community.deeplearning.ai/t/course-1-week-3-programming-assignment/187069/3 "2022-08-17T16:27:26Z")
@Mubsi ah!!! Oh boy. Thanks a lot!