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Commit e2922e15 authored by Taras Lazariv's avatar Taras Lazariv
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Merge branch 'DA_neustrukturierung' of...

Merge branch 'DA_neustrukturierung' of gitlab.hrz.tu-chemnitz.de:zih/hpcsupport/hpc-compendium into DA_neustrukturierung
parents 4afbc1e0 2a4aa0da
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5 merge requests!333Draft: update NGC containers,!322Merge preview into main,!319Merge preview into main,!279Draft: Machine Learning restructuring,!258Data Analytics restructuring
......@@ -44,12 +44,11 @@ marie@romeo$ module load modenv/scs5
## Machine Learning via Console
### Python and Virtual Environments
Python users should use a [virtual environment](python_virtual_environments.md) when conducting machine learning tasks via console.
In case of using [sbatch files](../jobs_and_resources/batch_systems.md) to send your job you usually
don't need a virtual environment.
Python users should use a [virtual environment](python_virtual_environments.md) when conducting
machine learning tasks via console. In case of using [sbatch files](../jobs_and_resources/batch_systems.md)
to send your job you usually don't need a virtual environment.
For more details on machine learning or data science with Python see [here](data_analytics_with_python.md).
......@@ -60,7 +59,6 @@ different package managment.
For more details on machine learning or data science with R see [here](../data_analytics_with_r/#r-console).
## Machine Learning with Jupyter
The [Jupyter Notebook](https://jupyter.org/) is an open-source web application that allows you to
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......@@ -14,7 +14,7 @@ If TensorBoard occurs in the `Included extensions` section of the output, Tensor
## Using TensorBoard
To use TensorBoard, you have to connect via ssh to the ZIH system as usual, schedule an interactive
To use TensorBoard, you have to connect via ssh to the ZIH system as usual, schedule an interactive
job and load a TensorFlow module:
```console
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......@@ -73,10 +73,9 @@ the notebook by pre-loading a specific TensorFlow module:
![TensorFlow module in JupyterHub](misc/tensorflow_jupyter_module.png)
{: align="center"}
??? hint
You can also define your own Jupyter kernel for more specific tasks. Please read there
documentation about JupyterHub, Jupyter kernels and virtual environments
documentation about JupyterHub, Jupyter kernels and virtual environments
[here](../../access/jupyterhub/#creating-and-using-your-own-environment).
## TensorFlow in Containers
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