diff --git a/doc.zih.tu-dresden.de/docs/jobs_and_resources/hpcda.md b/doc.zih.tu-dresden.de/docs/jobs_and_resources/hpcda.md
index d29716f4e8df472f311ba456c4c9bcb07df36c40..d7bdec9afe83de27488e712b07e5fd5bdbcfcd17 100644
--- a/doc.zih.tu-dresden.de/docs/jobs_and_resources/hpcda.md
+++ b/doc.zih.tu-dresden.de/docs/jobs_and_resources/hpcda.md
@@ -56,11 +56,11 @@ Additional hardware:
- [Get started with HPC-DA](../software/get_started_with_hpcda.md)
- [IBM Power AI](../software/power_ai.md)
- [Work with Singularity Containers on Power9]**todo** Cloud
-- [TensorFlow on HPC-DA (native)](../software/tensor_flow.md)
-- [Tensorflow on Jupyter notebook](../software/tensor_flow_on_jupyter_notebook.md)
+- [TensorFlow on HPC-DA (native)](../software/tensorflow.md)
+- [Tensorflow on Jupyter notebook](../software/tensorflow_on_jupyter_notebook.md)
- Create and run your own TensorFlow container for HPC-DA (Power9) (todo: no link at all in old compendium)
- [TensorFlow on x86](../software/deep_learning.md)
-- [PyTorch on HPC-DA (Power9)](../software/py_torch.md)
+- [PyTorch on HPC-DA (Power9)](../software/pytorch.md)
- [Python on HPC-DA (Power9)](../software/python.md)
- [JupyterHub](../access/jupyterhub.md)
- [R on HPC-DA (Power9)](../software/data_analytics_with_r.md)
diff --git a/doc.zih.tu-dresden.de/docs/software/deep_learning.md b/doc.zih.tu-dresden.de/docs/software/deep_learning.md
index fc0b8e8be22c1cd58f14f0f1cd50da27a4b9dd40..6439c1dc234d4cc0476c4966edf53a33d17480be 100644
--- a/doc.zih.tu-dresden.de/docs/software/deep_learning.md
+++ b/doc.zih.tu-dresden.de/docs/software/deep_learning.md
@@ -22,14 +22,14 @@ recommend using Ml partition [HPC-DA](../jobs_and_resources/hpcda.md). For examp
module load TensorFlow
```
-There are numerous different possibilities on how to work with [TensorFlow](tensor_flow.md) on
+There are numerous different possibilities on how to work with [TensorFlow](tensorflow.md) on
Taurus. On this page, for all examples default, scs5 partition is used. Generally, the easiest way
is using the [modules system](modules.md)
and Python virtual environment (test case). However, in some cases, you may need directly installed
Tensorflow stable or night releases. For this purpose use the
-[EasyBuild](custom_easy_build_environment.md), [Containers](tensor_flow_container_on_hpcda.md) and see
+[EasyBuild](custom_easy_build_environment.md), [Containers](tensorflow_container_on_hpcda.md) and see
[the example](https://www.tensorflow.org/install/pip). For examples of using TensorFlow for ml partition
-with module system see [TensorFlow page for HPC-DA](tensor_flow.md).
+with module system see [TensorFlow page for HPC-DA](tensorflow.md).
Note: If you are going used manually installed Tensorflow release we recommend use only stable
versions.
@@ -42,7 +42,7 @@ environments [ml environment and scs5 environment](modules.md#module-environment
name "Keras".
On this page for all examples default scs5 partition used. There are numerous different
-possibilities on how to work with [TensorFlow](tensor_flow.md) and Keras
+possibilities on how to work with [TensorFlow](tensorflow.md) and Keras
on Taurus. Generally, the easiest way is using the [module system](modules.md) and Python
virtual environment (test case) to see Tensorflow part above.
For examples of using Keras for ml partition with the module system see the
diff --git a/doc.zih.tu-dresden.de/docs/software/get_started_with_hpcda.md b/doc.zih.tu-dresden.de/docs/software/get_started_with_hpcda.md
index bbc3c5d2314acacf822c2ebadb76e82f3191cb92..29d39d3223dd2699abebe1514f8a2f34097ff5be 100644
--- a/doc.zih.tu-dresden.de/docs/software/get_started_with_hpcda.md
+++ b/doc.zih.tu-dresden.de/docs/software/get_started_with_hpcda.md
@@ -283,7 +283,7 @@ Several Tensorflow and PyTorch examples for the Jupyter notebook have been prepa
simple tasks and models which will give you an understanding of how to work with ML frameworks and
JupyterHub. It could be found as the [attachment] **todo** %ATTACHURL%/machine_learning_example.py
in the bottom of the page. A detailed explanation and examples for TensorFlow can be found
-[here](tensor_flow_on_jupyter_notebook.md). For the Pytorch - [here](py_torch.md). Usage information
+[here](tensorflow_on_jupyter_notebook.md). For the Pytorch - [here](pytorch.md). Usage information
about the environments for the JupyterHub could be found [here](../access/jupyterhub.md) in the chapter
*Creating and using your own environment*.
diff --git a/doc.zih.tu-dresden.de/docs/software/keras.md b/doc.zih.tu-dresden.de/docs/software/keras.md
index 6b661e458176d73895a07077681e29a5bbac20dc..34ce8e41511f662ec45922891547702a137129e5 100644
--- a/doc.zih.tu-dresden.de/docs/software/keras.md
+++ b/doc.zih.tu-dresden.de/docs/software/keras.md
@@ -47,7 +47,7 @@ system.
The information about the Jupyter notebook and the **JupyterHub** could
be found [here](../access/jupyterhub.md). The use of
-Containers is described [here](tensor_flow_container_on_hpcda.md).
+Containers is described [here](tensorflow_container_on_hpcda.md).
Keras contains numerous implementations of commonly used neural-network
building blocks such as layers,
@@ -71,7 +71,7 @@ Keras (using the module system). To get started, import [tf.keras](https://www.t
as part of your TensorFlow program setup.
tf.keras is TensorFlow's implementation of the [Keras API
specification](https://keras.io/). This is a modified example that we
-used for the [Tensorflow page](./tensor_flow.md).
+used for the [Tensorflow page](./tensorflow.md).
```bash
srun -p ml --gres=gpu:1 -n 1 --pty --mem-per-cpu=8000 bash
diff --git a/doc.zih.tu-dresden.de/docs/software/py_torch.md b/doc.zih.tu-dresden.de/docs/software/pytorch.md
similarity index 100%
rename from doc.zih.tu-dresden.de/docs/software/py_torch.md
rename to doc.zih.tu-dresden.de/docs/software/pytorch.md
diff --git a/doc.zih.tu-dresden.de/docs/software/tensor_flow.md b/doc.zih.tu-dresden.de/docs/software/tensorflow.md
similarity index 99%
rename from doc.zih.tu-dresden.de/docs/software/tensor_flow.md
rename to doc.zih.tu-dresden.de/docs/software/tensorflow.md
index 640ddc3fa04a18aff68bdf96922480eb71cc5006..aa0806ee9f16c0af5d27dda498661b60433cb7fd 100644
--- a/doc.zih.tu-dresden.de/docs/software/tensor_flow.md
+++ b/doc.zih.tu-dresden.de/docs/software/tensorflow.md
@@ -33,7 +33,7 @@ HPC-DA system.
The information about the Jupyter notebook and the **JupyterHub** could
be found [here](../access/jupyterhub.md). The use of
-Containers is described [here](tensor_flow_container_on_hpcda.md).
+Containers is described [here](tensorflow_container_on_hpcda.md).
On Taurus, there exist different module environments, each containing a set
of software modules. The default is *modenv/scs5* which is already loaded,
diff --git a/doc.zih.tu-dresden.de/docs/software/tensor_flow_container_on_hpcda.md b/doc.zih.tu-dresden.de/docs/software/tensorflow_container_on_hpcda.md
similarity index 100%
rename from doc.zih.tu-dresden.de/docs/software/tensor_flow_container_on_hpcda.md
rename to doc.zih.tu-dresden.de/docs/software/tensorflow_container_on_hpcda.md
diff --git a/doc.zih.tu-dresden.de/docs/software/tensor_flow_on_jupyter_notebook.md b/doc.zih.tu-dresden.de/docs/software/tensorflow_on_jupyter_notebook.md
similarity index 100%
rename from doc.zih.tu-dresden.de/docs/software/tensor_flow_on_jupyter_notebook.md
rename to doc.zih.tu-dresden.de/docs/software/tensorflow_on_jupyter_notebook.md
diff --git a/doc.zih.tu-dresden.de/mkdocs.yml b/doc.zih.tu-dresden.de/mkdocs.yml
index dc43e87f7cf535152e156bb68df290d893b5f3a1..cf0a7483bb9df2007143cd9f0d5da85a5df9e540 100644
--- a/doc.zih.tu-dresden.de/mkdocs.yml
+++ b/doc.zih.tu-dresden.de/mkdocs.yml
@@ -47,13 +47,13 @@ nav:
- Data Analytics with R: software/data_analytics_with_r.md
- Data Analytics with Python: software/python.md
- TensorFlow:
- - TensorFlow Overview: software/tensor_flow.md
- - TensorFlow in Container: software/tensor_flow_container_on_hpcda.md
- - TensorFlow in JupyterHub: software/tensor_flow_on_jupyter_notebook.md
+ - TensorFlow Overview: software/tensorflow.md
+ - TensorFlow in Container: software/tensorflow_container_on_hpcda.md
+ - TensorFlow in JupyterHub: software/tensorflow_on_jupyter_notebook.md
- Keras: software/keras.md
- Dask: software/dask.md
- Power AI: software/power_ai.md
- - PyTorch: software/py_torch.md
+ - PyTorch: software/pytorch.md
- Apache Spark, Apache Flink, Apache Hadoop: software/big_data_frameworks.md
- SCS5 Migration Hints: software/scs5_software.md
- Virtual Machines: software/virtual_machines.md