From eef6ae8934090ea4281ff044998364aff9c270d6 Mon Sep 17 00:00:00 2001
From: LocNgu <loc.nguyen_dang_duc@tu-dresden.de>
Date: Wed, 30 Jun 2021 13:52:04 +0200
Subject: [PATCH] Fix lint check

---
 doc.zih.tu-dresden.de/docs/software/Keras.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/doc.zih.tu-dresden.de/docs/software/Keras.md b/doc.zih.tu-dresden.de/docs/software/Keras.md
index 7920e5aa9..89b789d61 100644
--- a/doc.zih.tu-dresden.de/docs/software/Keras.md
+++ b/doc.zih.tu-dresden.de/docs/software/Keras.md
@@ -164,9 +164,9 @@ Generally, for machine learning purposes ml partition is used but for
 some special issues, SCS5 partition can be useful. The following sbatch
 script will automatically execute the above Python script on ml
 partition. If you have a question about the sbatch script see the
-article about [SLURM](./../jobs/BindingAndDistributionOfTasks.md). Keep in mind that you need to put the
-executable file (Keras_example) with python code to the same folder as
-bash script or specify the path.
+article about [SLURM](./../jobs/BindingAndDistributionOfTasks.md). 
+Keep in mind that you need to put the executable file (Keras_example) with 
+python code to the same folder as bash script or specify the path.
 
 ```bash
 #!/bin/bash
-- 
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