diff --git a/doc.zih.tu-dresden.de/docs/software/tensorboard.md b/doc.zih.tu-dresden.de/docs/software/tensorboard.md
index a5368be63ab048a044deadca8d07b34413ca7115..a397498edc467bee26a23e3c9e5c870bb016e514 100644
--- a/doc.zih.tu-dresden.de/docs/software/tensorboard.md
+++ b/doc.zih.tu-dresden.de/docs/software/tensorboard.md
@@ -14,16 +14,13 @@ log data. Note, that the directory `/tmp/<username>/tf-logs` might not exist and
 create it first. Therefore, open a "New Launcher" (`Ctrl+Shift+L`) and select "Terminal" session.
 It will start a new terminal on the respective compute node. Then you can create the directory
 `/tmp/<username>/tf-logs` and link it with the directory where your own log data is located.
-Consider the following commands to do so:
-
-
 Assuming you use a line like the following in your code:
 
 ```python
 tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir="/home/marie/logs")
 ```
 
-You can then make the TensorBoard available with:
+You can then make the TensorBoard available from the Jupyter terminal with:
 
 ```bash
 mkdir -p /tmp/$USER/tf-logs