From f11c3fb9bcd64c24e6ef87ab79e439b912c0dae5 Mon Sep 17 00:00:00 2001
From: Alexander Grund <alexander.grund@tu-dresden.de>
Date: Tue, 5 Oct 2021 07:53:05 +0200
Subject: [PATCH] Apply 1 suggestion(s) to 1 file(s)

---
 doc.zih.tu-dresden.de/docs/software/ngc_containers.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc.zih.tu-dresden.de/docs/software/ngc_containers.md b/doc.zih.tu-dresden.de/docs/software/ngc_containers.md
index 72397dfe6..e22ca5748 100644
--- a/doc.zih.tu-dresden.de/docs/software/ngc_containers.md
+++ b/doc.zih.tu-dresden.de/docs/software/ngc_containers.md
@@ -131,7 +131,7 @@ The majority of the NGC containers allow you to use multiple GPUs from one node
 
 However, PyTorch and TensorFlow containers support multi-GPU usage.
 
-The example of using PyTorch container for the training ResNet50 model on the classification task on ImageNet dataset is presented below:
+An example of using the PyTorch container for training of the ResNet50 model on the classification task on ImageNet dataset is presented below:
 
 ```console
 marie@login$ srun -p alpha --nodes 1 --ntasks-per-node 8 --ntasks 8 --gres=gpu:8 --time=08:00:00 --pty --mem=500000 bash
-- 
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