def test_linear_activation_forward4(self):
A_prev = array([[-0.00172428, -0.00877858], [0.00042214, 0.00582815],
[-0.01100619, 0.01144724]])
W = array([[0.00901591, 0.00502494, 0.00900856]])
b = array([[-0.00683728]])
A, cache = linear_activation_forward(A_prev, W, b, activation="relu")
assert_allclose(A,
array([[0, 0]]),
rtol=0,
atol=0.0001,
equal_nan=False)
assert_allclose(cache[0][0], A_prev)
assert_allclose(cache[0][1], W)
assert_allclose(cache[0][2], b)
assert_allclose(cache[1],
array([[-0.00695, -0.006784]]),
rtol=0,
atol=0.0001,
equal_nan=False)
def test_linear_activation_forward6(self):
A_prev = array([[0.00838983, 0.00931102], [0.00285587, 0.00885141],
[-0.00754398, 0.01252868]])
W = array([[0.0051293, -0.00298093, 0.00488518]])
b = array([[-0.00075572]])
A, cache = linear_activation_forward(A_prev, W, b, activation="relu")
assert_allclose(A,
array([[0, 0]]),
rtol=0,
atol=0.0001,
equal_nan=False)
assert_allclose(cache[0][0], A_prev)
assert_allclose(cache[0][1], W)
assert_allclose(cache[0][2], b)
assert_allclose(cache[1],
array([[-0.00075, -0.00067]]),
rtol=0,
atol=0.0001,
equal_nan=False)
def test_linear_activation_forward2(self):
A_prev = array([[-0.41675785, -0.05626683], [-2.1361961, 1.64027081],
[-1.79343559, -0.84174737]])
W = array([[0.50288142, -1.24528809, -1.05795222]])
b = array([[-0.90900761]])
A, cache = linear_activation_forward(A_prev, W, b, activation="relu")
assert_allclose(A,
array([[3.43896131, 0]]),
rtol=0,
atol=0.0001,
equal_nan=False)
assert_allclose(cache[0][0], A_prev)
assert_allclose(cache[0][1], W)
assert_allclose(cache[0][2], b)
assert_allclose(cache[1],
array([[3.43896131, -2.08938436]]),
rtol=0,
atol=0.0001,
equal_nan=False)