message: Fixed inline code markdown for  in docstring
diff: @@ -1374,11 +1374,11 @@ def resize_images_v2(images,
  >>> tf.image.resize(image[0], [3,5]).shape.as_list()
  [3, 5, 1]
  - When 'antialias' is true, the sampling filter will anti-alias the input image
  + When `antialias` is true, the sampling filter will anti-alias the input image
  as well as interpolate. When downsampling an image with [anti-aliasing](
  https://en.wikipedia.org/wiki/Spatial_anti-aliasing) the sampling filter
  kernel is scaled in order to properly anti-alias the input image signal.
  - 'antialias' has no effect when upsampling an image:
  + `antialias` has no effect when upsampling an image:
  >>> a = tf.image.resize(image, [5,10])
  >>> b = tf.image.resize(image, [5,10], antialias=True)
  @@ -1389,7 +1389,7 @@ def resize_images_v2(images,
  the string equivalent. The options are:
  * <b>`'bilinear'`</b>: [Bilinear interpolation.](
  - https://en.wikipedia.org/wiki/Bilinear_interpolation) If 'antialias' is
  + https://en.wikipedia.org/wiki/Bilinear_interpolation) If `antialias` is
  true, becomes a hat/tent filter function with radius 1 when downsampling.
  * <b>`lanczos3`</b>: [Lanczos kernel](
  https://en.wikipedia.org/wiki/Lanczos_resampling) with radius 3.
  @@ -1407,9 +1407,9 @@ def resize_images_v2(images,
  sigma = 1.5 / 3.0.
  * <b>`nearest`</b>: [Nearest neighbor interpolation.](
  https://en.wikipedia.org/wiki/Nearest-neighbor_interpolation)
  - 'antialias' has no effect when used with nearest neighbor interpolation.
  + `antialias` has no effect when used with nearest neighbor interpolation.
  * <b>`area`</b>: Anti-aliased resampling with area interpolation.
  - 'antialias' has no effect when used with area interpolation; it
  + `antialias` has no effect when used with area interpolation; it
  always anti-aliases.
  * <b>`mitchellcubic`</b>: Mitchell-Netravali Cubic non-interpolating filter.
  For synthetic images (especially those lacking proper prefiltering), less
  