diff --git a/doc.zih.tu-dresden.de/docs/software/tensorboard.md b/doc.zih.tu-dresden.de/docs/software/tensorboard.md
index 94da6e1b0685ded1501cc5378ee76ac3bfa5d74c..3310c30ca1a537f5b9d7bfe59377c07a55e69481 100644
--- a/doc.zih.tu-dresden.de/docs/software/tensorboard.md
+++ b/doc.zih.tu-dresden.de/docs/software/tensorboard.md
@@ -10,7 +10,7 @@ The easiest way to use TensorBoard is via [JupyterHub](../access/jupyterhub.md).
 TensorBoard log directory is set to `/tmp/<username>/tf-logs` on the compute node, where Jupyter
 session is running. In order to show your own directory with logs, it can be soft-linked to the
 default folder. Open a "New Launcher" menu (`Ctrl+Shift+L`) and select "Terminal" session. It
-will start new terminal on the respective compute node. Create a directory `/tmp/lazariv/tf-logs`
+will start new terminal on the respective compute node. Create a directory `/tmp/$USER/tf-logs`
 and link it with your log directory
 `ln -s <your-tensorboard-target-directory> <local-tf-logs-directory>`