From 53a286571de1f4b05a096b4e8f9b8bbd0579b88d Mon Sep 17 00:00:00 2001
From: Tobias <36965290+tobiasfshr@users.noreply.github.com>
Date: Wed, 22 Aug 2018 10:34:09 +0200
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 8813671..a96f9ea 100644
--- a/README.md
+++ b/README.md
@@ -18,7 +18,7 @@ The train/validation/test split is 80% / 5% / 15%. Together with the data augmen
 
 Results
 -
-As classification models I evaluated Recurrent Neural Networks (RNN) with Gated Recurrent Units (GRU), Convolutional Neural Networks and other, more classical machine learning models like Hidden Markov Models (HMM), Random Forests, Multi-Layer Perceptrons (MLP) and Support Vector Machines (SVM). However, the classical models did not provide a satisfying accuracy.
+As classification models I evaluated Recurrent Neural Networks (RNN) with Gated Recurrent Units (GRU), Convolutional Neural Networks (CNN) and other, more classical machine learning models like Hidden Markov Models (HMM), Random Forests, Multi-Layer Perceptrons (MLP) and Support Vector Machines (SVM). However, the classical models did not provide a satisfying accuracy.
 
 Model | Accuracy
 ----- | --------