From 8f51bdf12d7442037f2aab1057f36d3a10f48bd6 Mon Sep 17 00:00:00 2001
From: Sebastian Doebel <sebastian.doebel@tu-dresden.de>
Date: Thu, 7 Nov 2024 10:25:10 +0100
Subject: [PATCH] Fixes links in data_analytics_with_r
---
doc.zih.tu-dresden.de/docs/software/data_analytics_with_r.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/doc.zih.tu-dresden.de/docs/software/data_analytics_with_r.md b/doc.zih.tu-dresden.de/docs/software/data_analytics_with_r.md
index 16a7f5231..bcebd84b4 100644
--- a/doc.zih.tu-dresden.de/docs/software/data_analytics_with_r.md
+++ b/doc.zih.tu-dresden.de/docs/software/data_analytics_with_r.md
@@ -62,8 +62,8 @@ marie@compute$ R -e 'install.packages("ggplot2")'
The deep learning frameworks perform extremely fast when run on accelerators such as GPU.
Therefore, using nodes with built-in GPUs, e.g., clusters
-[`Capella`](../jobs_and_resources/capella.md),
-[`Alpha`](../jobs_and_resources/alpha_centauri.md) and
+[`Capella`](../jobs_and_resources/hardware_overview.md#capella),
+[`Alpha`](../jobs_and_resources/hardware_overview.md#alpha_centauri) and
[`Power9`](../jobs_and_resources/hardware_overview.md) is beneficial for the examples here.
### R Interface to TensorFlow
--
GitLab