message: Corrects punctuations and format
diff: @@ -3722,7 +3722,7 @@ def log_sigmoid(x, name=None):
  Usage Example:
  If a positive number is large, then its log_sigmoid will approach to 0 since the
  - formula will be `y = log( <large_num> / (1 + <large_num>) )` which approximates to `log 1` which is 0
  + formula will be `y = log( <large_num> / (1 + <large_num>) )` which approximates to `log (1)` which is 0.
  >>> x = tf.constant([0.0, 1.0, 50.0, 100.0])
  >>> tf.math.log_sigmoid(x)
  @@ -3731,7 +3731,7 @@ def log_sigmoid(x, name=None):
  dtype=float32)>
  If a negative number is large, its log_sigmoid will approach to the number itself since the
  - formula will be `y = log( 1 / (1 + <large_num>) )` which is `log 1 - log ( (1 + <large_num>) )` which
  + formula will be `y = log( 1 / (1 + <large_num>) )` which is `log (1) - log ( (1 + <large_num>) )` which
  approximates to `- <large_num>` that is the number itself.
  >>> x = tf.constant([-100.0, -50.0, -1.0, 0.0])
  