C1_W2_Linear_Regression supervised machine learning

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification
1

AssertionError Traceback (most recent call last)
in
6 print(‘Gradient at initial w, b (zeros):’, tmp_dj_dw, tmp_dj_db)
7
----> 8 compute_gradient_test(compute_gradient)

~/work/public_tests.py in compute_gradient_test(target)
60 dj_dw, dj_db = target(x, y, initial_w, initial_b)
61 #assert dj_dw.shape == initial_w.shape, f"Wrong shape for dj_dw. {dj_dw} != {initial_w.shape}"
—> 62 assert dj_db == -2, f"Case 1: dj_db is wrong: {dj_db} != -2"
63 assert np.allclose(dj_dw, -10.0), f"Case 1: dj_dw is wrong: {dj_dw} != -10.0"
64

AssertionError: Case 1: dj_db is wrong: -0.5 != -2

Hi there, is anyone can help me find out what wrong with my code. Thank you so much！

2

The most common issue in this assignment is incorrect indentation.
Python is very specific about indentation, since that’s how it defines blocks of code.