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docs/Neural-Network-Types.md
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@@ -29,7 +29,7 @@ No setting of the type in the firmware is necessary. The type can detect by the
Technically a wrong network will work and create output, but that would be totally arbitrary
* Not all type of pointers are trained in all networks.
* 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
* For the continious and 100 classes network especially for the digits, there are only a view types of digits trained up to now
* For the continious and 100 classes network especially for the digits, there are only a few types of digits trained up to now
* Therefore sometimes for the digits it is more effective to choose the simpler 11 classes network type (= default).