diff --git a/docs/source/distributed.rst b/docs/source/distributed.rst
index de41b8f30ad..925ea46b0e3 100644
--- a/docs/source/distributed.rst
+++ b/docs/source/distributed.rst
@@ -47,7 +47,7 @@ for multiprocess parallelism across several computation nodes running on one or
 machines. The class :func:`torch.nn.parallel.DistributedDataParallel` builds on this
 functionality to provide synchronous distributed training as a wrapper around any
 PyTorch model. This differs from the kinds of parallelism provided by
-:module:`torch.multiprocessing` and :func:`torch.nn.DataParallel` in that it supports
+:doc:`multiprocessing` and :func:`torch.nn.DataParallel` in that it supports
 multiple network-connected machines and in that the user must explicitly launch a separate
 copy of the main training script for each process.
 
diff --git a/docs/source/nn.rst b/docs/source/nn.rst
index 31d61115206..d358f6258ea 100644
--- a/docs/source/nn.rst
+++ b/docs/source/nn.rst
@@ -409,7 +409,7 @@ Linear layers
     :members:
 
 :hidden:`Bilinear`
-~~~~~~~~~~~~~~~~
+~~~~~~~~~~~~~~~~~~
 
 .. autoclass:: Bilinear
     :members: