From 72ac2600ba92baebc4b47b69ef3a7746aee9d74a Mon Sep 17 00:00:00 2001 From: Nils Reimers Date: Thu, 13 Jul 2017 11:51:11 +0200 Subject: [PATCH] readme --- 2017-07_Seminar/Readme.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/2017-07_Seminar/Readme.md b/2017-07_Seminar/Readme.md index 32de374..46a01d3 100644 --- a/2017-07_Seminar/Readme.md +++ b/2017-07_Seminar/Readme.md @@ -77,7 +77,7 @@ The following is a short list with good introductions to different aspects of de The first theory lesson covers the fundamentals of deep learning. ## Theory 2 - Introduction to Word Embeddings -**Slides:** [pdf](./3_Theory_Word_Embeddings.pdf) +**Slides:** [pdf](./2_Theory_Word_Embeddings.pdf) ## Theory 3 - Introduction to Deep Learning Frameworks **Slides:** [pdf](./3_Theory_Frameworks.pdf)