message: Remove link to tf/math#Segmentation section that doesn't exist.
diff: @@ -3465,10 +3465,6 @@ def _unsorted_segment_N(data, segment_ids, num_segments):
  def unsorted_segment_mean(data, segment_ids, num_segments, name=None):
  r"""Computes the mean along segments of a tensor.
  - Read [the section on
  - segmentation](https://tensorflow.org/api_docs/python/tf/math#Segmentation)
  - for an explanation of segments.
  -
  This operator is similar to the unsorted segment sum operator found
  [here](../../../api_docs/python/math_ops.md#UnsortedSegmentSum).
  Instead of computing the sum over segments, it computes the mean of all
  @@ -3558,10 +3554,6 @@ def sparse_segment_sum(data, indices, segment_ids, name=None,
  num_segments=None):
  r"""Computes the sum along sparse segments of a tensor.
  - Read [the section on
  - segmentation](https://tensorflow.org/api_docs/python/tf/math#Segmentation)
  - for an explanation of segments.
  -
  Like `tf.math.segment_sum`, but `segment_ids` can have rank less than `data`'s
  first dimension, selecting a subset of dimension 0, specified by `indices`.
  `segment_ids` is allowed to have missing ids, in which case the output will
  @@ -3634,10 +3626,6 @@ def sparse_segment_sum_v2(data,
  name=None):
  r"""Computes the sum along sparse segments of a tensor.
  - Read [the section on
  - segmentation](https://tensorflow.org/api_docs/python/tf/math#Segmentation)
  - for an explanation of segments.
  -
  Like `tf.math.segment_sum`, but `segment_ids` can have rank less than `data`'s
  first dimension, selecting a subset of dimension 0, specified by `indices`.
  `segment_ids` is allowed to have missing ids, in which case the output will
  @@ -3703,10 +3691,6 @@ def sparse_segment_mean(data,
  num_segments=None):
  r"""Computes the mean along sparse segments of a tensor.
  - Read [the section on
  - segmentation](https://tensorflow.org/api_docs/python/tf/math#Segmentation)
  - for an explanation of segments.
  -
  Like `tf.math.segment_mean`, but `segment_ids` can have rank less than
  `data`'s first dimension, selecting a subset of dimension 0, specified by
  `indices`.
  @@ -3749,10 +3733,6 @@ def sparse_segment_mean_v2(data,
  name=None):
  r"""Computes the mean along sparse segments of a tensor.
  - Read [the section on
  - segmentation](https://tensorflow.org/api_docs/python/tf/math#Segmentation)
  - for an explanation of segments.
  -
  Like `tf.math.segment_mean`, but `segment_ids` can have rank less than
  `data`'s first dimension, selecting a subset of dimension 0, specified by
  `indices`.
  @@ -3825,10 +3805,6 @@ def sparse_segment_sqrt_n_v2(data,
  name=None):
  r"""Computes the sum along sparse segments of a tensor divided by the sqrt(N).
  - Read [the section on
  - segmentation](https://tensorflow.org/api_docs/python/tf/math#Segmentation)
  - for an explanation of segments.
  -
  Like `tf.sparse.segment_mean`, but instead of dividing by the size of the
  segment, `N`, divide by `sqrt(N)` instead.
  