message: Fix docstring typos in tf.distributions.bijectors.Bijector.
diff: @@ -158,7 +158,7 @@ class Bijector(object):
  # Evaluate forward transformation.
  fwd_x = my_bijector.forward(x)
  x == my_bijector.inverse(fwd_x)
  - x != my_bijector.forward(fwd_x) # Not equal because g(x) != g(g(x)).
  + x != my_bijector.forward(fwd_x) # Not equal because x != g(g(x)).
  ```
  - Computing a log-likelihood:
  @@ -275,7 +275,7 @@ class Bijector(object):
  implies `g^{-1}` is differentiable in the image of `g`.
  Applying the chain rule to `y = g(x) = g(g^{-1}(y))` yields
  `I = g'(g^{-1}(y))*g^{-1}'(y)`.
  - The same theorem also implies `g{-1}'` is non-singular therefore:
  + The same theorem also implies `g^{-1}'` is non-singular therefore:
  `inv[ g'(g^{-1}(y)) ] = g^{-1}'(y)`.
  The claim follows from [properties of determinant](
  https://en.wikipedia.org/wiki/Determinant#Multiplicativity_and_matrix_groups).
  