Fix typo. (#1082)

tholop · holly1238 · web-flow · commit fa83e33f9a93 · 2021-04-16T15:42:05.000-07:00
Co-authored-by: holly1238 &lt;77758406+holly1238@users.noreply.github.com&gt;
diff --git a/beginner_source/blitz/neural_networks_tutorial.py b/beginner_source/blitz/neural_networks_tutorial.py
@@ -176,7 +176,7 @@ def num_flat_features(self, x):
 #           -> loss
 #
 # So, when we call ``loss.backward()``, the whole graph is differentiated
-# w.r.t. the loss, and all Tensors in the graph that has ``requires_grad=True``
+# w.r.t. the loss, and all Tensors in the graph that have ``requires_grad=True``
 # will have their ``.grad`` Tensor accumulated with the gradient.
 #
 # For illustration, let us follow a few steps backward:

Original file line number	Diff line number	Diff line change
`@@ -176,7 +176,7 @@ def num_flat_features(self, x):`
`176`	`176`	`# -> loss`
`177`	`177`	`#`
`178`	`178`	# So, when we call ``loss.backward()``, the whole graph is differentiated
`179`		-# w.r.t. the loss, and all Tensors in the graph that has ``requires_grad=True``
	`179`	+# w.r.t. the loss, and all Tensors in the graph that have ``requires_grad=True``
`180`	`180`	# will have their ``.grad`` Tensor accumulated with the gradient.
`181`	`181`	`#`
`182`	`182`	`# For illustration, let us follow a few steps backward:`