From 2b3154a827d7f651e181ff1c047490c9f7459ae9 Mon Sep 17 00:00:00 2001
From: Daniel M <daniel.q.mueller@stud.h-da.de>
Date: Wed, 26 Jan 2022 10:57:59 +0100
Subject: [PATCH] Change overfitting to mdbook link

---
 book/src/AI-Models/Autoencoder/Autoencoder.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/book/src/AI-Models/Autoencoder/Autoencoder.md b/book/src/AI-Models/Autoencoder/Autoencoder.md
index 0f1b526..ae6968f 100644
--- a/book/src/AI-Models/Autoencoder/Autoencoder.md
+++ b/book/src/AI-Models/Autoencoder/Autoencoder.md
@@ -30,7 +30,7 @@ decoder. This is used to restrict the information flow to only the important par
 usecase. In the case of a denoising autoencoder for example, the bottleneck should filter out the 
 noise.
 
-Smaller bottlenecks lower the risk of [overfitting](https://en.wikipedia.org/wiki/Overfitting) 
+Smaller bottlenecks lower the risk of [overfitting](../../Glossary.md#overfitting) 
 since it can't contain enough information relative to the input size to effectively learn 
 specific inputs.
 However the smaller the bottleneck is the larger is the risk of losing important data.
-- 
GitLab