I got -0.2 at initial w (zeros), but the correct answer is -0.1.

This has affected my implementation of cost and gradient descent for non zero values of w. Below is the resulting error

ssertionError Traceback (most recent call last)

in

8

9 # UNIT TESTS

—> 10 compute_gradient_test(compute_gradient)

~/work/public_tests.py in compute_gradient_test(target)

51 dj_db, dj_dw = target(X, y, test_w, test_b)

52

—> 53 assert np.isclose(dj_db, 0.28936094), f"Wrong value for dj_db. Expected: {0.28936094} got: {dj_db}"

54 assert dj_dw.shape == test_w.shape, f"Wrong shape for dj_dw. Expected: {test_w.shape} got: {dj_dw.shape}"

55 assert np.allclose(dj_dw, [-0.11999166, 0.41498775, -0.71968405]), f"Wrong values for dj_dw. Got: {dj_dw}"

AssertionError: Wrong value for dj_db. Expected: 0.28936094 got: 0.8995208066624646

Please help me out

Martins