message: Fix typos in the comment for the class Categorical.
diff: @@ -69,7 +69,7 @@ class Categorical(distribution.Distribution):
  The Categorical distribution is closely related to the `OneHotCategorical` and
  `Multinomial` distributions. The Categorical distribution can be intuited as
  generating samples according to `argmax{ OneHotCategorical(probs) }` itself
  - being identical to `argmax{ Multinomial(probs, total_count=1) }.
  + being identical to `argmax{ Multinomial(probs, total_count=1) }`.
  #### Mathematical Details
  @@ -83,7 +83,7 @@ class Categorical(distribution.Distribution):
  The number of classes, `K`, must not exceed:
  - the largest integer representable by `self.dtype`, i.e.,
  - `2**(mantissa_bits+1)` (IEE754),
  + `2**(mantissa_bits+1)` (IEEE 754),
  - the maximum `Tensor` index, i.e., `2**31-1`.
  In other words,
  