message: fixed activation typo, fixed testable docstring
diff: @@ -198,15 +198,14 @@ def relu(x, alpha=0., max_value=None, threshold=0):
  For example:
  >>> foo = tf.constant([-10, -5, 0.0, 5, 10], dtype = tf.float32)
  >>> tf.keras.activations.relu(foo).numpy()
  - # ==> array([0., 0., 0., 5., 10.], dtype=float32)
  + array([ 0., 0., 0., 5., 10.], dtype=float32)
  >>> tf.keras.activations.relu(foo, alpha=0.5).numpy()
  - # ==> array([-5. , -2.5, 0. , 5. , 10. ], dtype=float32)
  + array([-5. , -2.5, 0. , 5. , 10. ], dtype=float32)
  >>> tf.keras.activaions.relu(foo, max_value=5).numpy()
  - # ==> array([0., 0., 0., 5., 5.], dtype=float32)
  + array([0., 0., 0., 5., 5.], dtype=float32)
  >>> tf.keras.activations.relu(foo, threshold=5).numpy()
  array([-0., -0., 0., 0., 10.], dtype=float32)
  -
  Arguments:
  x: Input `tensor` or `variable`.
  alpha: A `float` that governs the slope for values lower than the
  