import numpy as np
def gradient_check_n_test_case():
np.random.seed(1)
x = np.random.randn(4,3)
y = np.array([1, 1, 0])
W1 = np.random.randn(5,4)
b1 = np.random.randn(5,1)
W2 = np.random.randn(3,5)
b2 = np.random.randn(3,1)
W3 = np.random.randn(1,3)
b3 = np.random.randn(1,1)
parameters = {"W1": W1,
"b1": b1,
"W2": W2,
"b2": b2,
"W3": W3,
"b3": b3}
return x, y, parameters