equation

index.html

@@ -455,20 +455,20 @@
           </div>
           </div>
       </div>
+    </div>
 
-      <div class="columns is-centered">
-        <div class="column">
-          <p class="eq-des label-loss">
-            where $\displaystyle k$ represents the number of generated neighbors, $\displaystyle y_t$ is the target class, and $\displaystyle \mathcal{L} is the cross entropy loss function$
-          </p>
-          <p class="eq-des representation-loss" style="display: none">
-            where $\displaystyle \mathcal{S}$ is the cosine similarity.
-          </p>
-            
-          <p class="eq-des total-loss" style="display: none;">
-            where $\displaystyle \mathcal{L}_C$ indicates classifier's loss function, $\displaystyle y_t$ is the targeted class, and $\displaystyle \alpha$ refers to a hyperparameter.
-          </p>
-        </div>
+    <div class="columns is-centered">
+      <div class="column">
+        <p class="eq-des label-loss">
+          where $\displaystyle k$ represents the number of generated neighbors, $\displaystyle y_t$ is the target class, and $\displaystyle \mathcal{L} is the cross entropy loss function$
+        </p>
+        <p class="eq-des representation-loss" style="display: none">
+          where $\displaystyle \mathcal{S}$ is the cosine similarity.
+        </p>
+          
+        <p class="eq-des total-loss" style="display: none;">
+          where $\displaystyle \mathcal{L}_C$ indicates classifier's loss function, $\displaystyle y_t$ is the targeted class, and $\displaystyle \alpha$ refers to a hyperparameter.
+        </p>
       </div>
     </div>