message: Updated categorical_hinge loss docs in losses.py
diff: @@ -1401,7 +1401,8 @@ def categorical_hinge(y_true, y_pred):
  >>> assert np.array_equal(loss.numpy(), np.maximum(0., neg - pos + 1.))
  Args:
  - y_true: The ground truth values. `y_true` values are expected to be 0 or 1.
  + y_true: The ground truth values. `y_true` values are expected to be
  + either {-1, +1} or {0, 1}(i.e. a one-hot-encoded tensor).
  y_pred: The predicted values.
  Returns:
  