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Fix grammar #739

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Dec 2, 2019
Merged

Fix grammar #739

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8 changes: 4 additions & 4 deletions beginner_source/blitz/neural_networks_tutorial.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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)
Expand Down Expand Up @@ -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
#
Expand Down Expand Up @@ -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.