def rand_initialize_weights(L_in, L_out):
    epsilon_init = 0.12
    return np.random.rand(L_out, 1 + L_in) * 2 * epsilon_init - epsilon_init
dataset/ETHPy150Open mlyundin/Machine-Learning/ex4/ex4.py/rand_initialize_weights/original