input: Write a function to create a 3-layer artificial neural network using Python and print the outcome.
  assert np.array_equal(create_ann([2, 3]), [0.71])
  assert np.array_equal(create_ann([1, 1]), [0.44])
  assert np.array_equal(create_ann([0, 0]), [0.0])
  assert np.array_equal(create_ann([3, 4]), [0.88])
  assert np.array_equal(create_ann([-1, -1]), [-0.22])
output: def create_ann(input_data):
      weights = [0.5, 0.3, 0.2]
      biases = [0.1, 0.2, 0.3]
      layer1 = sum([input_data[i] * weights[i] for i in range(len(input_data))]) + biases[0]
      layer2 = layer1 * weights[1] + biases[1]
      output = layer2 * weights[2] + biases[2]
      return [round(output, 2)]