## Hi the out put of the function update_parameters_with_adam is not matching the expected values.

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’]

Calculated values:

W1 =

[[ 1.63949493 -0.62691477 -0.54326465]

[-1.08769515 0.85031501 -2.28657079]]

W2 =

[[ 0.33262355 -0.26414959 1.47708248]

[-2.0457142 -0.30744639 -0.36898502]

[ 1.14872646 -1.09849003 -0.15727519]]

b1 =

[[ 1.7549895]

[-0.7461017]]

b2 =

[[-0.89102966]

[ 0.02699863]

[ 0.56780324]]

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]]

I also notice that the argument values are not defaults.

t = 2

learning_rate = 0.02

beta1 = 0.8

beta2 = 0.888

epsilon = 1e-2

I have tried many things but no headway. Could you please review my solution to see if you can spot any bug if the notebook has some issue.