Fix typos (#1887)

jems-lee · web-flow · commit ce867033986c · 2022-04-12T14:11:33.000-07:00
* italics weren't formatted properly
* grammatical error
diff --git a/beginner_source/introyt/modelsyt_tutorial.py b/beginner_source/introyt/modelsyt_tutorial.py
@@ -95,7 +95,7 @@ def forward(self, x):
 # The most basic type of neural network layer is a *linear* or *fully
 # connected* layer. This is a layer where every input influences every
 # output of the layer to a degree specified by the layer’s weights. If a
-# model has *m* inputs and *n* outputs, the weights will be an *m*x*n*
+# model has *m* inputs and *n* outputs, the weights will be an *m* x *n*
 # matrix. For example:
 # 
 
@@ -137,7 +137,7 @@ def forward(self, x):
 # spatial correlation. They are very commonly used in computer vision,
 # where they detect close groupings of features which the compose into
 # higher-level features. They pop up in other contexts too - for example,
-# in NLP applications, where the a word’s immediate context (that is, the
+# in NLP applications, where a word’s immediate context (that is, the
 # other words nearby in the sequence) can affect the meaning of a
 # sentence.
 # 
