Update README to pytorch 0.3.0 and make consistent

README.rst

@@ -4,7 +4,7 @@
 
 |build| |coverage| |docs|
 
-A scikit-learn compatible neural network library that wraps pytorch.
+A scikit-learn compatible neural network library that wraps PyTorch.
 
 .. |build| image:: https://travis-ci.org/dnouri/skorch.svg?branch=master
     :alt: Build Status
@@ -60,7 +60,7 @@ To see a more elaborate example, look `here
             X = self.nonlin(self.dense0(X))
             X = self.dropout(X)
             X = F.relu(self.dense1(X))
-            X = F.softmax(self.output(X))
+            X = F.softmax(self.output(X), dim=-1)
             return X
 
 
@@ -123,16 +123,16 @@ We recommend to use a virtual environment for this.
 From source
 ~~~~~~~~~~~
 
-If you would like to use the must recent additions to ``skorch`` or
-help development, you should install ``skorch`` from source.
+If you would like to use the must recent additions to skorch or
+help development, you should install skorch from source.
 
 Using conda
 ^^^^^^^^^^^
 
 You need a working conda installation. Get the correct miniconda for
 your system from `here <https://conda.io/miniconda.html>`__.
 
-If you just want to use ``skorch``, use:
+If you just want to use skorch, use:
 
 .. code:: bash
 
@@ -161,7 +161,7 @@ If you want to help developing, run:
 Using pip
 ^^^^^^^^^
 
-If you just want to use ``skorch``, use:
+If you just want to use skorch, use:
 
 .. code:: bash
 
@@ -187,12 +187,12 @@ If you want to help developing, run:
     py.test  # unit tests
     pylint skorch  # static code checks
 
-pytorch
+PyTorch
 ~~~~~~~
 
-``pytorch`` is not covered by the dependencies, since the ``pytorch``
+PyTorch is not covered by the dependencies, since the PyTorch
 version you need is dependent on your system. For installation
-instructions for ``pytorch``, visit the `pytorch website
+instructions for PyTorch, visit the `PyTorch website
 <http://pytorch.org/>`__.
 
 In general, this should work (assuming CUDA 9):