small typo

2022-09-22 07:29:18 +02:00
parent 6e5a591141
commit e64cce57db
7 changed files with 160 additions and 144 deletions
@@ -354,7 +354,9 @@ in the data set (see the full example below).
 One simple way to get a discrete output is to have sign
 functions that map the output of a linear regressor to values $\{0,1\}$,
 $f(s_i)=sign(s_i)=1$ if $s_i\ge 0$ and 0 if otherwise. 
-We will encounter this model in our first demonstration of neural networks. Historically it is called the ``perceptron" model in the machine learning
+We will encounter this model in our first demonstration of neural networks.
+
+Historically it is called the _perceptron_ model in the machine learning
 literature. This model is extremely simple. However, in many cases it is more
 favorable to use a ``soft" classifier that outputs
 the probability of a given category. This leads us to the logistic function.