input: Write a function to create a 3-layer artificial neural network using Python and print the outcome. The function should take the input layer, hidden layer, and output layer as parameters, compute the output of the neural network, and print the result.
  assert create_nn(np.array([2, 3]), np.array([[0.1, 0.4], [0.8, 0.6], [0.3, 0.9]]), np.array([0.3, 0.7]))==[0.91, 0.45]
  assert create_nn(np.array([1, 1]), np.array([[0.5, 0.5], [0.5, 0.5], [0.5, 0.5]]), np.array([0.5, 0.5]))==[0.5, 0.5]
  assert create_nn(np.array([0, 0]), np.array([[1, 0], [0, 1], [1, 1]]), np.array([1, 0]))==[0, 0]
  assert create_nn(np.array([]), np.array([[]]), np.array([]))==[]
output: def create_nn(input_layer, hidden_layer, output_layer):
      hidden_input = np.dot(hidden_layer, input_layer)
      output = np.dot(output_layer, hidden_input)
      return output