def test_compute_cost():
y = np.asarray([[1, 1, 1]])
al = np.array([[.8, .9, 0.4]])
nn = NeuralNetwork(layer_dims=(3, 1), params_ok=True)
cost = nn.compute_cost(al, y)
assert_eq(cost, 0.41493159961539694)
def test_cost_regulation():
np.random.seed(1)
y = np.array([[1, 1, 0, 1, 0]])
w1 = np.random.randn(2, 3)
b1 = np.random.randn(2, 1)
w2 = np.random.randn(3, 2)
b2 = np.random.randn(3, 1)
w3 = np.random.randn(1, 3)
b3 = np.random.randn(1, 1)
a3 = np.array(
[[0.40682402, 0.01629284, 0.16722898, 0.10118111, 0.40682402]])
nn = NeuralNetwork(w=[w1, w2, w3],
b=[b1, b2, b3],
lambd=0.1,
params_ok=True)
cost = nn.compute_cost(a3, y)
assert_eq(cost, 1.78648594516)