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Neural-Network-Types/index.html

@@ -237,7 +237,7 @@
   Technically a wrong network will work and create output, but that would be totally arbitrary</li>
 <li>Not all type of pointers are trained in all networks.</li>
 <li>For the 11 classes digits network there many different types of digits trained. The reason is, that you 1) only need 20-30 training images and 2) the data collection is ongoing much longer</li>
-<li>For the continious and 100 classes network especially for the digits, there are only a view types of digits trained up to now</li>
+<li>For the continious and 100 classes network especially for the digits, there are only a few types of digits trained up to now</li>
 <li>Therefore sometimes for the digits it is more effective to choose the simpler 11 classes network type (= default). </li>
 </ul>
 <h2 id="naming-convention">Naming convention</h2>