message: Formatting: Change formatting of source paper
diff: @@ -1192,7 +1192,6 @@ def batch_normalization(x,
  name=None):
  r"""Batch normalization.
  - As described in http://arxiv.org/abs/1502.03167.
  Normalizes a tensor by `mean` and `variance`, and applies (optionally) a
  `scale` \\(\gamma\\) to it, as well as an `offset` \\(\beta\\):
  @@ -1218,6 +1217,9 @@ def batch_normalization(x,
  `tf.nn.moments(..., keep_dims=False)` during training, or running averages
  thereof during inference.
  + See Source [Batch Normalization: Accelerating Deep Network Training by Reducing
  + Internal Covariate Shift, S. Ioffe, C. Szegedy](http://arxiv.org/abs/1502.03167).
  +
  Args:
  x: Input `Tensor` of arbitrary dimensionality.
  mean: A mean `Tensor`.
  @@ -1255,7 +1257,8 @@ def fused_batch_norm(
  name=None):
  r"""Batch normalization.
  - As described in http://arxiv.org/abs/1502.03167.
  + See Source [Batch Normalization: Accelerating Deep Network Training by Reducing
  + Internal Covariate Shift, S. Ioffe, C. Szegedy](http://arxiv.org/abs/1502.03167).
  Args:
  x: Input `Tensor` of 4 dimensions.
  