x: added compose key

wiki/anki.md

@@ -53,3 +53,23 @@ for example.
 To change this navigate to the `Options` of a deck and then change `New card sort order` to
 `Random` to randomize them before showing them without gathering them randomly.
 To change this the `New card gather order` can also be set to `Random notes` or `Random cards`.
+
+### Change Card Style
+
+The layout and the style of the cards can be changed using CSS and HTML.
+There are various resources that can be used for this.
+One of them is [anki-prettify](https://github.com/pranavdeshai/anki-prettify).
+The exact CSS an HTML has to be changed on a per-note base under `Tools`, `Manage Note Types`, and
+`Cards` after selecting the corresponding note.
+
+### Resources
+
+The following are useful resources and (shared) decks for learning various languages with Anki.
+
+#### French Resources 
+
+The following is a list of French resources.
+
+- [French A0/A1 Anki Deck + Images/Audio/Explanations](https://ankiweb.net/shared/info/1070709392)
+  is a shared deck for various French grammar and idioms.
+  It is especially useful since it contains a practical note type for grammar questions.

wiki/bibliographic_software.md

@@ -6,4 +6,5 @@ It produces citations for the stored records that are used in scholarly research
 ## Software Solutions
 
 - [Papis](/wiki/linux/papis.md) is a [command-line based](/wiki/linux/shell.md) for
-  [Linux](/wiki/linux.md) bibliography manager that can be used for LaTeX using the BibTeX format.
+  [Linux](/wiki/linux.md) bibliography manager that can be used for
+  [LaTeX](/wiki/markup_language.md#latex) using the BibTeX format.

wiki/docker/kiwix_-_kiwix-serve.md

@@ -0,0 +1,41 @@
+# /maintainer/ - /name/
+
+This is a [Docker](/wiki/docker.md) container for a [Kiwix](/wiki/kiwix.md) server.
+The official container and documentation was made by
+[kiwix](https://github.com/kiwix/kiwix-tools/pkgs/container/kiwix-serve).
+
+## Set-up
+
+Create the file `rebuild.sh`.
+Make sure to place the `.zim` files inside the volume.
+Change the settings according to your needs and run `./rebuild.sh` afterwards.
+
+## Ports
+
+Set the following ports in the `ports:` section.
+
+| Container Port | Recommended outside port | Protocol  | Description   |
+| -------------- | ------------------------ | --------- | ------------- |
+| `80`           | `80`                     | TCP       | WebUI         |
+
+## Volumes
+
+Set the following volumes with the -v tag.
+
+| Outside mount/volume name | Container mount | Description    |
+| ------------------------- | --------------- | -------------- |
+| `kiwix_data`              | `/data`         | Data directory |
+
+## rebuild.sh
+
+```sh
+docker stop kiwix-serve
+docker rm kiwix-serve
+docker pull ghcr.io/kiwix/kiwix-serve
+docker run  --name kiwix-serve \
+    --restart unless-stopped \
+    -v kiwix_data:/data \
+    -p 80:80 \
+    -d ghcr.io/kiwix/kiwix-serve \
+    *.zim
+```

wiki/game/minecraft.md

@@ -258,14 +258,14 @@ The following are recommended client-side graphical mods.
   redstone level of a music disc in game.
 - "Rename 'Stem' to 'Log'" from Vanilla Tweaks is a resource pack that changes the Nether woods to
   use 'Stem' instead of 'Log'.
-- "Icons" is a ressource pack that adds icons into the menu and game.
-  Additionally "Icons Advertisement Removal" removes the logo of the "Icons" ressource pack.
-- "Hoffen's Minimal Armor" is a ressource pack that minimizes the look of armor.
-- "Vertical Nuggets" is a ressource pack that flips all nuggets to be vertical.
-- "Colorful Canines" is a ressource pack that makes dog armor more colorful.
-- "Colorful Sheared Sheep" is a ressource pack that makes the color of sheep wool visible even
+- "Icons" is a resource pack that adds icons into the menu and game.
+  Additionally "Icons Advertisement Removal" removes the logo of the "Icons" resource pack.
+- "Hoffen's Minimal Armor" is a resource pack that minimizes the look of armor.
+- "Vertical Nuggets" is a resource pack that flips all nuggets to be vertical.
+- "Colorful Canines" is a resource pack that makes dog armor more colorful.
+- "Colorful Sheared Sheep" is a resource pack that makes the color of sheep wool visible even
   after the shearing.
-- "Real Arrrow Tip" is a ressource pack that makes the look of arrows correct ingame.
+- "Real Arrrow Tip" is a resource pack that makes the look of arrows correct ingame.
 
 The following are recommended client-side audio mods.
 
@@ -313,8 +313,8 @@ The following are recommended client-side HUD and other UI modifications
 - "Scribble" is a mod that makes editing books easier by adding buttons for color, bold font and
   more.
 - "Chat Patches" is a mod that extends the chat history and adds some more tweaks.
-- "Armor Chroma for Fabric" is a ressource pack that shows the type of armor in the bar.
-- "Colorful Ping" is a ressource pack that shows the ping symbol in color.
+- "Armor Chroma for Fabric" is a resource pack that shows the type of armor in the bar.
+- "Colorful Ping" is a resource pack that shows the ping symbol in color.
 
 The following are possible client-side mods that change the gameplay or give other information in
 the game.

wiki/hailo.md

@@ -0,0 +1,72 @@
+# Hailo
+
+[Hailo](https://hailo.ai) produces AI accelerator chips which are used for deep learning.
+An example for a system that uses it is
+[Raspberry Pi's AI Hat +](/wiki/linux/raspberry_pi.md#ai-hat).
+
+## Setup
+
+Depending on the system and the type of access various things may have to be setup.
+For Ubuntu systems like the [Raspberry Pi](/wiki/linux/raspberry_pi.md) these are often named
+`hailort-pcie-driver` and `hailort`.
+When using the [Python prorgamming language](/wiki/programming_language/python.md) refer to the
+[Hailo section](/wiki/programming_language/python.md#hailo).
+
+## Usage
+
+This section addresses various usages of the Hailo software.
+
+### Preparing TensorFlow Models for the AI HAT+
+
+For [neural networks](/wiki/neural_network.md) to run on the Hailo AI module and the AI HAT+ they
+have to be converted to the `.hef` format.
+This section assumes the neural network is using
+[TensorFlow](/wiki/programming_language/python.md#tensorflow) and is available as a `.tf` or
+`.tflite` file.
+
+To convert TensorFlow models first the Hailo 8 Software Suite needs to be downloaded.
+This can be done from the [official website](https://hailo.ai/developer-zone/software-downloads/)
+altough an account is needed for it.
+
+After downloading, extracting and then navigating into the folder a heavily customized
+[Docker](/wiki/docker.md) container can be started by running the following command.
+However it is recommended to slightly modify this file.
+Add a volume that contains the TensorFlow model, that is to be converted, to the environment
+variable `DOCKER_ARGS` which is set in the file `hailo_ai_sw_suite_docker_run.sh`.
+
+```sh
+./hailo_ai_sw_suite_docker_run.sh
+```
+
+Using the tools which come in this container a `.tf` or `.tflite` model can be converted to the
+`.hef` format.
+
+For this to work run the following commands inside the Docker container.
+The first command takes the path to the tensorflow model (`<path-to-tf-model>`) and will output a
+`.har` model.
+The second command is optional but recommended and takes the path to this `.har` model
+(`<path-to-har-model`) and returns an optimized `.har` model.
+The third and final command compiles the (optimized) `.har` model, which is given as the input, and
+outputs the final `.hre` model, which then can be used with the Hailo AI module.
+
+```sh
+hailo parser tf <path-to-tf-model>
+hailo optimize --use-random-calib-set <path-to-har-model>
+hailo compiler <path-to-optimized-har-model>
+```
+
+Note that the user in the Docker container usually uses anothr UID and GID.
+To make the volume and files accessible inside the container the IDs of the files in the volume
+should be changed accordingly - for example as shown in the following example.
+`<volume-path>` is the path that points to the volume
+`<uid>` is the UID of the Docker user - which can be found using `id -u` (for example `10642`) -
+and `<gid>` the GID of the Docker user - which can be found using `id -g` (for example `10600`).
+
+```sh
+chown -R <uid>:<gid> <volume-path>
+```
+
+After the models have been converted it can be reversed using the systems user UID and GID.
+
+The converted models can than be run using the Python programming language as described in the
+[Python article](/wiki/programming_language/python.md#hailo).

wiki/kiwix.md

@@ -0,0 +1,24 @@
+# Kiwix
+
+[Kiwix](https://kiwix.org) is a open-source software that allows to save web content like Wikipedia
+or Stack Overflow locally and for offline usage.
+
+## Setup
+
+Kiwix is available for different operating systems and can be installed as described
+[on the official website](https://kiwix.org/en/applications).
+The software can also be setup via [Docker](/wiki/docker.md) with the 
+[kiwix image](/wiki/docker/kiwix_-_kiwix-serve.md).
+
+## Usage
+
+This section addresses the usage of Kiwix.
+
+### Download content
+
+The content to display using Kiwix has to be acquired as a `.zim` file.
+The official collection of these files can be found on the
+[official website](https://library.kiwix.org/).
+For [Docker](/wiki/docker.md) the `.zim` files need to be placed accordingly to the
+[corresponding article](/wiki/docker/kiwix_-_kiwix-serve.md).
+After the downloading the files, Kiwix may have to be restarted.

wiki/linux/flac_(package).md

@@ -12,7 +12,41 @@ Another possible tagging software is [MusicBrainz Picard](../picard.md)
 
 ## Usage
 
+This section addresses the usage of the flac package.
+
 ### Splitting Flac file according to cue file
 
 `shnsplit` can be used to split flac files.
 In the [shnsplit article](/wiki/linux/shntool.md) an explanation on this is given.
+
+### Compress or Recompress `.wav` and `.flac` files
+
+`.flac` and `.wav` files can be compressed with the following command.
+In this `<wav-flac-file>` is the path to the music file but can also use wildcards (for example
+`*.wav`).
+`<compression>` is the compression rate.
+The highest compression preset is `8`.
+
+```sh 
+flac -<compression> <wav-flac-file>
+```
+
+When recompressing `.flac` files the file does not have to be decoded to encode it again but can be
+recompressed in one command.
+
+According to a
+[Reddit comment by berdmayne](https://www.reddit.com/r/foobar2000/comments1m3634l/best_way_to_reduce_flac_file_size_without_losing)
+the compression rates of the different levels are the following.
+
+| Level            | Saving to level 0   | Saving to previous level |
+| ---------------- | ------------------- | ------------------------ |
+| 0 (uncompressed) | 0.0%                |                          |
+| 1                | 0.5%                | 0.5%                     |
+| 2                | 0.9%                | 0.4%                     |
+| 3                | 5.3%                | 4.4%                     |
+| 4                | 6.0%                | 0.7%                     |
+| 5                | 6.4%                | 0.4%                     |
+| 6                | 6.7%                | 0.4%                     |
+| 7                | 6.9%                | 0.2%                     |
+| 8                | 7.0%                | 0.1%                     |
+

wiki/linux/papis.md

@@ -2,7 +2,7 @@
 
 [Papis](/wiki/linux/papis.md) is a [command-line based](/wiki/linux/shell.md) for
 [Linux](/wiki/linux.md) [bibliography manager](/wiki/bibliographic_software.md) that can be used
-for LaTeX using the BibTeX format.
+for [LaTeX](/wiki/markup_language.md#latex) using the BibTeX format.
 
 ## Setup
 

wiki/linux/raspberry_pi.md

@@ -33,62 +33,15 @@ This section addresses them.
 ### AI HAT+
 
 The [AI HAT](https://www.raspberrypi.com/documentation/accessories/ai-hat-plus.html) is an
-extension which uses the Hailo AI module for use with the [Raspberry Pi
-5](https://www.raspberrypi.com/products/raspberry-pi-5).
+extension which uses the [Hailo AI module](/wiki/hailo.md) for use with the
+[Raspberry Pi 5](https://www.raspberrypi.com/products/raspberry-pi-5).
 
-#### AI HAT+ Usage
+## Troubleshooting
 
-This section addresses the usage of the
-[AI HAT](https://www.raspberrypi.com/documentation/accessories/ai-hat-plus.html).
+This section addresses the usage of Raspberry Pi systems.
 
-#### Preparing TensorFlow Models for the AI HAT+
+### SSH Servera Not Starting for Imager Setups
 
-For [neural networks](/wiki/neural_network.md) to run on the Hailo AI module and the AI HAT+ they
-have to be converted to the `.hef` format.
-This section assumes the neural network is using
-[TensorFlow](/wiki/programming_language/python.md#tensorflow) and is available as a `.tf` or
-`.tflite` file.
-
-To convert TensorFlow models first the Hailo 8 Software Suite needs to be downloaded.
-This can be done from the [official website](https://hailo.ai/developer-zone/software-downloads/)
-altough an account is needed for it.
-
-After downloading, extracting and then navigating into the folder a heavily customized
-[Docker](/wiki/docker.md) container can be started by running the following command.
-However it is recommended to slightly modify this file.
-Add a volume that contains the TensorFlow model, that is to be converted, to the environment
-variable `DOCKER_ARGS` which is set in the file `hailo_ai_sw_suite_docker_run.sh`.
-
-```sh
-./hailo_ai_sw_suite_docker_run.sh
-```
-
-Using the tools which come in this container a `.tf` or `.tflite` model can be converted to the
-`.hef` format.
-
-For this to work run the following commands inside the Docker container.
-The first command takes the path to the tensorflow model (`<path-to-tf-model>`) and will output a
-`.har` model.
-The second command is optional but recommended and takes the path to this `.har` model
-(`<path-to-har-model`) and returns an optimized `.har` model.
-The third and final command compiles the (optimized) `.har` model, which is given as the input, and
-outputs the final `.hre` model, which then can be used with the Hailo AI module.
-
-```sh
-hailo parser tf <path-to-tf-model>
-hailo optimize --use-random-calib-set <path-to-har-model>
-hailo compiler <path-to-optimized-har-model>
-```
-
-Note that the user in the Docker container usually uses anothr UID and GID.
-To make the volume and files accessible inside the container the IDs of the files in the volume
-should be changed accordingly - for example as shown in the following example.
-`<volume-path>` is the path that points to the volume
-`<uid>` is the UID of the Docker user - which can be found using `id -u` (for example `10642`) -
-and `<gid>` the GID of the Docker user - which can be found using `id -g` (for example `10600`).
-
-```sh 
-chown -R <uid>:<gid> <volume-path>
-```
-
-After the models have been converted it can be reversed using the systems user UID and GID.
+Sometimes the [imager](#setup) can run into errors which does not set up the
+[SSH](/wiki/linux/openssh.md) server on the Pi correctly.
+In this case the SSH server needs to be started manually by display and keyboard.

wiki/linux/x_window_system.md

@@ -23,14 +23,14 @@ One of them is `slock` by [suckless](/wiki/linux/suckless.md).
 This will stand in as a screen locker for this section.
 The screen can be run by simply running the following command.
 
-```sh 
+```sh
 slock
 ```
 
 By default this will not be run automatically when the computer goes into sleep.
 This can be changed by installing and using `xss-lock` like the following example shows.
 
-```sh 
+```sh
 xss-lock -- slock &
 ```
 
@@ -74,7 +74,7 @@ can be used that uses `synclient TouchpadOff=1` or `synclient TouchpadOff=0`.
 This requires `xf86-input-synaptics` which is a synaptics driver for
 notebook touchpads.
 
-##### Enable Tap to Click 
+##### Enable Tap to Click
 
 On Touchpads the tap to click option can be enabled by adding the following lines to the config
 file `/etc/X11/xorg.conf.d/99-synaptics-overrides.conf`.
@@ -108,6 +108,25 @@ setxkbmap -query | grep -q '<layout 1>' && setxkbmap <layout 2> || setxkbmap <la
 Using [SXHKD](/wiki/linux/sxhkd.md) a hotkey can be setup to seamlessly transition between the two
 layouts.
 
+##### Write Diacritics and Ligatures
+
+In many languages there are ligatures (for example `œ`) and diacritics (for example `ç`).
+An easy way to write them is by using the compose button.
+Using the compose button these special symbols can be composed from their parts.
+The `ç` can be written by chaining compose with `,` and `c`.
+The `œ` can be written by chaining compose with `o` and `e`.
+There are many other diacritics and ligatures that can be written this way.
+
+To temporarily set up a compose key the following command can be used.
+It will set the given key `<compose>` (for example the right control key with `rctrl`) to act as
+the compose key when tapped.
+`<layout>` specifies the layout of the keymap (for example german with `de`).
+If it is omitted the english `en` layout will be set.
+
+```sh
+setxkbmap -layout <layout> -option compose:<compose>
+```
+
 #### Display
 
 This section describes the handling of displays by X.
@@ -135,7 +154,7 @@ EndSection
 This can be disabled temporarily by running `xset s off`.
 The screen can also be turned off instantly with the command `xset dpms force off`.
 
-If `OffTime` does not work add the following to the file `/etc/X11/xorg.conf.d/dpms.conf.
+If `OffTime` does not work add the following to the file `/etc/X11/xorg.conf.d/dpms.conf`.
 
 ```txt
 Section "ServerFlags"
@@ -147,8 +166,8 @@ Another option to do this is by using the command `xset`.
 An example for this are the follwing commands which will enable the screensaver to act upon 10
 minutes of inactivity.
 
-```sh 
-xset s on 
+```sh
+xset s on
 xset s 600
 ```
 
@@ -236,7 +255,7 @@ an [Arch Linux](/wiki/linux/arch-linux.md)
 [forum post](https://bbs.archlinux.org/viewtopic.php?id=294808).
 To fix this you can run the following commands to temporarily make the file picker work.
 
-```sh 
+```sh
 systemctl --user import-environment DISPLAY XAUTHORITY
 systemctl --user restart xdg-desktop-portal
 ```

wiki/ltex.md

@@ -2,7 +2,8 @@
 
 [LTeX](https://valentjn.github.io/ltex/index.html) is an offline grammar checking tool that can use
 the Language Server Protocol - short LSP.
-It is supports various [Markup languages](/wiki/markup_language.md) like LaTeX and Markdown.
+It is supports various [Markup languages](/wiki/markup_language.md) like
+[LaTeX](/wiki/markup_language.md#latex) and Markdown.
 
 ## Setup
 
@@ -48,8 +49,8 @@ onwards.
 ```
 
 However this can be difficult when only using a few words.
-Another easy and generally recommended way to change the language inside LaTeX documents is using
-the babel package.
+Another easy and generally recommended way to change the language inside
+[LaTeX](/wiki/markup_language.md#latex) documents is using the babel package.
 In the following examples `<language>` is the language indicator that babel uses (for example
 `english`, `american`, `ngerman`).
 

wiki/markup_language.md

@@ -1,7 +1,7 @@
 # Markup Language
 
 A markup Language is way to encode text so that it has great amounts of structure and formatting.
-The most common markup languages are [HTML](#html), Markdown, LaTeX and [XML](#xml).
+The most common markup languages are [HTML](#html), Markdown, [LaTeX](#latex) and [XML](#xml).
 Markup languages can be used for [note-taking](/wiki/note-taking.md).
 Adding to normal markdown files, there are also `.mdx` files which allows the usage of JavaScripts
 JSX in the markdown content for displaying charts and more.
@@ -28,3 +28,15 @@ One of the most used ones is the
 ### XML
 
 XML is a markup language often used together with [RSS Feeds](/wiki/rss.md).
+
+### LaTeX
+
+LaTeX provides a high-level, descriptive markup language.
+It is mostly used in the scientific community but can be used for many things and as an alternative
+to [Microsoft Word](/wiki/office_suite.md#programs).
+
+LaTeX also features many different packages.
+The following list contains some examples of it.
+
+- [ZUGFeRD](https://ctan.org/pkg/zugferd) is a package for creating invoices.
+- [Awesome-CV](https://github.com/posquit0/Awesome-CV) is a package for creating job applications.

wiki/note-taking.md

@@ -10,6 +10,7 @@ The following list shows various ways of digital note-taking.
 - [saber](https://github.com/saber-notes/saber) is a cross-platform app - available for
   [Android](/wiki/android.md), [Windows](/wiki/windows.md), MacOS and [Linux](/wiki/linux.md).
   It is mainly used for handwriting notes and annotating PDFs and images.
-- [Markup](/wiki/markup_language.md) languages like Markdown or LaTeX can be used to type notes.
+- [Markup](/wiki/markup_language.md) languages like Markdown or
+  [LaTeX](/wiki/markup_language.md#latex) can be used to type notes.
   An easy template that combines the simplicity of Markdown and the features of LaTeX is
   [the Eisvogel Panoc-Latex-Template](https://github.com/Wandmalfarbe/pandoc-latex-template).

wiki/pandoc.md

@@ -10,7 +10,8 @@ This section focusses on the usage of Pandoc.
 ### Converting MS Word to LaTeX
 
 By using the following command a proprietary Microsoft Word document (named `input.docx` in this
-example) can be converted to a file in LaTeX-Format (in this example named `output.tex`).
+example) can be converted to a file in [LaTeX](/wiki/markup_language.md#latex)-Format (in this
+example named `output.tex`).
 
 ```sh 
 pandoc input.docx -o output.tex

wiki/presentation.md

@@ -11,7 +11,7 @@ The following is a list of these tools.
   It can be used on dual screen setup to give the presenter an additional slide for comments.
 - PDF files can easily be used for presenting cross-platform but often used for
   [Linux-based operating systems](/wiki/linux.md). 
-  They can easily be generated by LaTeX.
+  They can easily be generated by [LaTeX](/wiki/markup_language.md#latex).
 - [pympress](https://github.com/Cimbali/pympress) is a cross-platform tool for the presentation via
   PDF files.
   It is also usable for dual screen setups.

wiki/programming_language/nim.md

@@ -8,3 +8,39 @@ language.
 You can install nim using choosenim with
 `curl https://nim-lang.org/choosenim/init.sh -sSf | sh`.
 If you're on an arch-based machine you can also run `yay -S choosenim` (install `yay` if necessary).
+
+## Usage
+
+This section addresses the usage of Nim.
+
+### Use Python Packages
+
+[Python modules](/wiki/programming_language/python.md#modules) can easily be used in Nim using the
+module [nimpy](#nimpy).
+
+## Modules
+
+There are various modules for Nim.
+As package manager `nimble` is used most of the time.
+
+This section addresses various different modules.
+
+### Arraymancer
+
+[Arraymancer](https://github.com/mratsim/Arraymancer) is a tensor library for Nim which can be used
+to run deep learning on CPUs, GPUs and embedded devices.
+
+### nimpy
+
+[nimpy](https://github.com/yglukhov/nimpy) is a [Python](/wiki/programming_language/python.md)
+bridge for the Nim programming languages.
+With it [Python modules](/wiki/programming_language/python.md#modules) can be used easily inside
+Nim.
+
+### SciNim
+
+[SciNim](https://github.com/SciNim) is a collection of modules more than a single one.
+It features various tools for scientific purposes from curve fitting to data visualization.
+
+An overview of it can be achieved on the
+[getting-started repository](https://github.com/SciNim/getting-started/blob/main/book/overview/index.md).

wiki/programming_language/python.md

@@ -147,7 +147,7 @@ directory.
 
 ## Modules
 
-There are various modules and package managers to install these for python like
+There are various modules and package managers to install these for Python like
 `pip`.
 For this usually a virtual environment is needed - as it is described in
 [the setup section](#setup).
@@ -159,6 +159,8 @@ If it doesnt work the packages can be installed globally using `pip` together wi
 `--break-system-packages` flag.
 This flag is to be used with care.
 
+This section addresses various different modules.
+
 ### PyTorch
 
 This section addresses the [PyTorch module](https://pytorch.org/).
@@ -189,6 +191,22 @@ torch.cuda.is_available()
 
 This should give back `True`.
 
+### Hailo
+
+The package for [Hailo chips](/wiki/hailo.md) has to be downloaded from the
+[official website](https://hailo.ai/developer-zone/software-downloads).
+Additionally additional setup may be required as explained in the
+[Hailo article](/wiki/hailo.md#setup)
+
+Hailo chips can be used to run converted [TensorFlow](#tensorflow) models.
+The conversion process is explained in the
+[Hailo article](/wiki/hailo.md#preparing-tensorflow-models-for-the-ai-hat)
+
+To run the inference using Python on ARM boards like the
+[Raspberry Pi AI Hat +](/wiki/linux/raspberry_pi.md#ai-hat)
+[zlodeibaal's article in Medium](https://medium.com/@zlodeibaal/how-to-run-hailo-on-arm-boards-d2ad599311fa)
+can be referenced.
+
 ### TensorFlow
 
 This section addresses the [TensorFlow module](https://www.tensorflow.org/).
@@ -204,3 +222,18 @@ Additionally it is noted that the dataset may have to be shuffled manually as de
 Finally
 [a Medium blog post](https://medium.com/@danielonugha0/how-to-change-the-learning-rate-of-tensorflow-b5d854819050)
 describes how to easily change the learning rate.
+
+#### Combining Models
+
+Models that are normally run in sequence but trained and saved separately can be easily be combined
+into a single model.
+This can have some advantages, for example when using inteference for deep learning on Edge TPUs
+like the [Hailo chips](/wiki/hailo.md) or the [EPS32S3](/wiki/microcontroller.md#esp32).
+
+A simple example for the combination of two models (`model1` and `model2`) into a new model
+(`combined_model`) is the following code.
+
+```sh 
+output = model2(model1.output)
+combined_model = tf.keras.models.Model(inputs=model1.input, outputs=output)
+```