From cebd100b148960108f8579a4e0116aa313678a96 Mon Sep 17 00:00:00 2001
From: simonwes <37214166+simonwes@users.noreply.github.com>
Date: Sun, 8 Jan 2023 15:45:33 +0100
Subject: [PATCH] Update Neural-Network-Types.md (#7)

fixed: view -> few
---
 docs/Neural-Network-Types.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/Neural-Network-Types.md b/docs/Neural-Network-Types.md
index 8fe4c13..5231733 100644
--- a/docs/Neural-Network-Types.md
+++ b/docs/Neural-Network-Types.md
@@ -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).