Fix grammar

Author: dymil

beginner_source/blitz/neural_networks_tutorial.py

@@ -90,9 +90,9 @@ def num_flat_features(self, x):
 print(params[0].size())  # conv1's .weight
 
 ########################################################################
-# Let try a random 32x32 input.
+# Let's try a random 32x32 input.
 # Note: expected input size of this net (LeNet) is 32x32. To use this net on
-# MNIST dataset, please resize the images from the dataset to 32x32.
+# the MNIST dataset, please resize the images from the dataset to 32x32.
 
 input = torch.randn(1, 1, 32, 32)
 out = net(input)
@@ -227,7 +227,7 @@ def num_flat_features(self, x):
 #
 #      ``weight = weight - learning_rate * gradient``
 #
-# We can implement this using simple python code:
+# We can implement this using simple Python code:
 #
 # .. code:: python
 #
@@ -258,4 +258,4 @@ def num_flat_features(self, x):
 #
 #       Observe how gradient buffers had to be manually set to zero using
 #       ``optimizer.zero_grad()``. This is because gradients are accumulated
-#       as explained in `Backprop`_ section.
+#       as explained in the `Backprop`_ section.