diff --git a/doc.zih.tu-dresden.de/docs/software/pytorch.md b/doc.zih.tu-dresden.de/docs/software/pytorch.md
index e84f3aac54a88e0984b0da17e3e3527fe37e7b46..4d03aec66b6e8b68071179534f558d3245645745 100644
--- a/doc.zih.tu-dresden.de/docs/software/pytorch.md
+++ b/doc.zih.tu-dresden.de/docs/software/pytorch.md
@@ -1,4 +1,4 @@
-# PyTorch
+# Neural Networks with PyTorch
 
 [PyTorch](https://pytorch.org/) is an open-source machine learning framework.
 It is an optimized tensor library for deep learning using GPUs and CPUs.
diff --git a/doc.zih.tu-dresden.de/docs/software/tensorboard.md b/doc.zih.tu-dresden.de/docs/software/tensorboard.md
index f7d3448079e8973218db99f0da7cf2a7acb432a7..0dcaf39add46347d93ab94ca7e6f44b9b7903fd6 100644
--- a/doc.zih.tu-dresden.de/docs/software/tensorboard.md
+++ b/doc.zih.tu-dresden.de/docs/software/tensorboard.md
@@ -1,4 +1,4 @@
-# TensorBoard
+# Inspect Model Training with TensorBoard
 
 TensorBoard is a visualization toolkit for TensorFlow and offers a variety of functionalities such
 as presentation of loss and accuracy, visualization of the model graph or profiling of the
diff --git a/doc.zih.tu-dresden.de/docs/software/tensorflow.md b/doc.zih.tu-dresden.de/docs/software/tensorflow.md
index 016d6aa25634a89fb7746dcb0117a8cb15a1116e..2329dc12cebed65cfdd525cbc5f67a3961b4d426 100644
--- a/doc.zih.tu-dresden.de/docs/software/tensorflow.md
+++ b/doc.zih.tu-dresden.de/docs/software/tensorflow.md
@@ -1,4 +1,4 @@
-# TensorFlow
+# Neural Networks with TensorFlow
 
 [TensorFlow](https://www.tensorflow.org) is a free end-to-end open-source software library for data
 flow and differentiable programming across many tasks. It is a symbolic math library, used primarily
@@ -136,7 +136,7 @@ changing default values for parameters. Thus in some cases, it makes code writte
 1.X not compatible with TensorFlow 2.X. However, If you are using the high-level APIs (`tf.keras`)
 there may be little or no action you need to take to make your code fully
 [TensorFlow 2.0](https://www.tensorflow.org/guide/migrate) compatible. It is still possible to
-run 1.X code, unmodified (except for contrib), in TensorFlow 2.0:
+run 1.X code, unmodified (except for `contrib`), in TensorFlow 2.0:
 
 ```python
 import tensorflow.compat.v1 as tf
diff --git a/doc.zih.tu-dresden.de/mkdocs.yml b/doc.zih.tu-dresden.de/mkdocs.yml
index e96b6c65ef6834b926bbf0d8cf5519fd467b859b..a9fab6873ef695e3584a76e9e0bd45f58c68c6aa 100644
--- a/doc.zih.tu-dresden.de/mkdocs.yml
+++ b/doc.zih.tu-dresden.de/mkdocs.yml
@@ -52,9 +52,9 @@ nav:
       - Big Data Analytics: software/big_data_frameworks.md
     - Machine Learning:
       - Overview: software/machine_learning.md
-      - TensorFlow: software/tensorflow.md
-      - TensorBoard: software/tensorboard.md
-      - PyTorch: software/pytorch.md
+      - Neural Networks with TensorFlow: software/tensorflow.md
+      - Inspect Model Training with TensorBoard: software/tensorboard.md
+      - Neural Networks with PyTorch: software/pytorch.md
       - Distributed Training: software/distributed_training.md
       - Hyperparameter Optimization (OmniOpt): software/hyperparameter_optimization.md
       - Machine Learning with PowerAI: software/power_ai.md