update

Author: mhjensen

doc/pub/week16/html/week16-bs.html

@@ -600,7 +600,7 @@ <h2 id="what-does-the-loss-function-quantify" class="anchor">What does the loss
 distribution \( p_{r} \) by JS divergence when the discriminator is
 optimal. The best \( G^* \) that replicates the real data distribution
 leads to the minimum \( L(G^*, D^*) = -2\log2 \) which is aligned with
-equations above.
+the equations above.
 </p>
 
 <!-- !split -->

doc/pub/week16/html/week16-reveal.html

@@ -621,7 +621,7 @@ <h2 id="what-does-the-loss-function-quantify">What does the loss function quanti
 distribution \( p_{r} \) by JS divergence when the discriminator is
 optimal. The best \( G^* \) that replicates the real data distribution
 leads to the minimum \( L(G^*, D^*) = -2\log2 \) which is aligned with
-equations above.
+the equations above.
 </p>
 </section>
 

doc/pub/week16/html/week16-solarized.html

@@ -556,7 +556,7 @@ <h2 id="what-does-the-loss-function-quantify">What does the loss function quanti
 distribution \( p_{r} \) by JS divergence when the discriminator is
 optimal. The best \( G^* \) that replicates the real data distribution
 leads to the minimum \( L(G^*, D^*) = -2\log2 \) which is aligned with
-equations above.
+the equations above.
 </p>
 
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>

doc/pub/week16/html/week16.html

@@ -633,7 +633,7 @@ <h2 id="what-does-the-loss-function-quantify">What does the loss function quanti
 distribution \( p_{r} \) by JS divergence when the discriminator is
 optimal. The best \( G^* \) that replicates the real data distribution
 leads to the minimum \( L(G^*, D^*) = -2\log2 \) which is aligned with
-equations above.
+the equations above.
 </p>
 
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>