Based on multiple forum topics, I tried with moving out epsilon out of np.sqrt(…) still see this problem, any help ?

*{moderator edit - solution code removed}*

##
W1 =

[[ 1.66754616 -0.63495721 -0.55137255]

[-1.09616942 0.84220683 -2.2583379 ]]

W2 =

[[ 0.36223989 -0.27257117 1.50530873]

[-2.01693991 -0.27921641 -0.34085356]

[ 1.17697024 -1.05669047 -0.12922741]]

b1 =

[[ 1.78801256]

[-0.71800611]]

b2 =

[[-0.90105921]

[ 0.01901295]

[ 0.55961442]]

AssertionError Traceback (most recent call last)

in

13 print(f"b2 = \n{parameters[‘b2’]}")

14

—> 15 update_parameters_with_adam_test(update_parameters_with_adam)

~/work/release/W2A1/public_tests.py in update_parameters_with_adam_test(target)

257 assert type(parameters[key]) == np.ndarray, f"Wrong type for parameters[‘{key}’]. Expected np.ndarray"

258 assert parameters[key].shape == parametersi[key].shape, f"Wrong shape for parameters[‘{key}’]. The update must keep the dimensions of parameters inputs"

→ 259 assert np.allclose(parameters[key][0], expected_parameters[key]), f"Wrong values. Check you formulas for parameters[‘{key}’]"

260 #print(f"{key}: \n {str(parameters[key])}")

261

AssertionError: Wrong values. Check you formulas for parameters[‘W1’]

Expected values:

W1 =

[[ 1.63942428 -0.6268425 -0.54320974]

[-1.08782943 0.85036983 -2.2865723 ]]

W2 =

[[ 0.33356139 -0.26425199 1.47707772]

[-2.04538458 -0.30744933 -0.36903141]

[ 1.14873036 -1.09256871 -0.15734651]]

b1 =

[[ 1.75854357]

[-0.74616067]]

b2 =

[[-0.89228024]

[ 0.02707193]

[ 0.56782561]]