Lisa figure credit

docs/tutorial_notebooks/tutorial1/Lisa_Cluster.ipynb

@@ -16,7 +16,7 @@
     "\n",
     "(Disclaimer: the following paragraph is an adapted version of the [Lisa user guide](https://userinfo.surfsara.nl/systems/lisa/user-guide/introduction#whatis). Credits: SURFsara team)\n",
     "\n",
-    "You can imagine a cluster computer as a collection of regular computers (known as nodes), tied together with network cables that are similar to the network cables in your home or office (see the figure below). Each node has its own CPU, memory and disk space, in addition to which they generally have access to a shared file system. On a cluster computer, you can run hundreds of computational tasks simultaneously.\n",
+    "You can imagine a cluster computer as a collection of regular computers (known as nodes), tied together with network cables that are similar to the network cables in your home or office (see the figure below - credit: SURFsara team). Each node has its own CPU, memory and disk space, in addition to which they generally have access to a shared file system. On a cluster computer, you can run hundreds of computational tasks simultaneously.\n",
     "\n",
     "<center><img src='lisa_simplified_figure.svg' width='500px'/></center>\n",
     "\n",
@@ -28,7 +28,7 @@
     "\n",
     "### Architecture of Lisa\n",
     "\n",
-    "A visual description of the Lisa architecture can be found below. You can connect to any login node of Lisa to interact with the system. Over the login nodes, you have access to the shared file system across nodes. The one you will mainly interact is `/home` where you can store your code, data, etc. You can access your files from any login node, as well as any compute node. You have a maximum disk space of 200GB which should be sufficient for the DL course. \n",
+    "A visual description of the Lisa architecture can be found below (figure credit - SURFsara team). You can connect to any login node of Lisa to interact with the system. Over the login nodes, you have access to the shared file system across nodes. The one you will mainly interact is `/home` where you can store your code, data, etc. You can access your files from any login node, as well as any compute node. You have a maximum disk space of 200GB which should be sufficient for the DL course. \n",
     "\n",
     "You do not directly interact with any compute node. Instead, you can request computational resources with a job script, and Lisa will assign a compute node to this job using a [SLURM job scheduler](https://slurm.schedmd.com). If all computational resources are occupied, your job will be placed in a queue, and scheduled when resources are available. \n",
     "\n",