anchor.diff:  ** Fedora: `sudo dnf install mvn`
   ** Ubuntu: `sudo apt-get install maven`
   
  -. *Fork the repository* -- Create a fork of the link:https://gitlab.com/oskopek/mff-csharp-project/[oskopek/mff-csharp-project repository]
  -(right upper corner) on gitlab, usually the fork will be called: `yourusername/mff-csharp-project`.
  +. *Fork the repository* -- Create a fork of the link:https://gitlab.com/oskopek/neuralnetworknet/[oskopek/neuralnetworknet repository]
  +(right upper corner) on gitlab, usually the fork will be called: `yourusername/neuralnetworknet`.
   
  -. *Clone the your fork* -- run `git clone https://gitlab.com/yourusername/mff-csharp-project.git`
  - (or, preferably, use SSH: `git clone git@gitlab.com:yourusername/mff-csharp-project.git`)
  +. *Clone the your fork* -- run `git clone https://gitlab.com/yourusername/neuralnetworknet.git`
  + (or, preferably, use SSH: `git clone git@gitlab.com:yourusername/neuralnetworknet.git`)
   
   . *Run the build* (see the Building section)
   
   ==== Windows
   
  -. *Install Java8 JDK* -- link:http://www.oracle.com/technetwork/java/javase/downloads/index.html[Oracle JDK Downloads] -- Select: Java Platform (JDK)
  +. *Install .NET Core >= 1.0.0*
  +.. *TODO*
   
  -. *Install Maven* -- (preferably the latest version you can).
  -See: http://maven.apache.org/guides/getting-started/windows-prerequisites.html[Maven on Windows]
  - and http://maven.apache.org/download.cgi[Maven Downloads].
  +. *TODO* Install Git
   
  -. Download and install gitlab for Windows at http://windows.gitlab.com/[]. If you encounter any problems,
  -see the http://windows.gitlab.com/help.html[gitlab for Windows FAQ].
  +. Find the `oskopek/neuralnetworknet` https://gitlab.com/oskopek/neuralnetworknet[repository] on gitlab.
   
  -. Find the `oskopek/mff-csharp-project` https://gitlab.com/oskopek/mff-csharp-project[repository] on gitlab.
  -
  -. Create a fork of the repository (right upper corner), usually the fork will be called `yourusername/mff-csharp-project`.
  +. Create a fork of the repository (right under the project name), usually the fork will be called `yourusername/neuralnetworknet`.
   
   . *Run the build* (see the Building section)
   
  -. The following workflow may be useful for you, if you're not familiar with Git/gitlab for Windows:
  -
  -.. In the upper left window, you can view all uncommitted changes.
  -Write the name and description of your changes and click the *check* button.
  -
  -.. Once in a while, be sure to *sync* to send all commits to your gitlab fork.
  -
  -.. After testing your changes, submit a pull request to `oskopek/mff-csharp-project` through https://gitlab.com/oskopek/mff-csharp-project/compare[gitlab].
  +.. After testing your changes, submit a merge request to `oskopek/neuralnetworknet` through https://gitlab.com/oskopek/neuralnetworknet/merge_requests/new[gitlab].
   ... Click on compare across forks.
   ... Set the following:
  -**** base fork: `oskopek/mff-csharp-project`
  +**** base fork: `oskopek/neuralnetworknet`
   **** base: `master`
  -**** head fork: `yourusername/mff-csharp-project`
  +**** head fork: `yourusername/neuralnetworknet`
   **** compare: `branchname`
   
  -.. Click on *Click to create a pull request for this comparison*.
  +.. Click on *Click to create a merge request for this comparison*.
   
  -.. Our Travis continuous integration server will test the merge of your pull request.
  -You can view the results in the thread of the pull request.
  +.. Our GitLab continuous integration will test the merge of your merge request.
  +You can view the results in the thread of the merge request.
   
  -.. Congratulations! Your pull request will get reviewed and probably be merged in.
  +.. Congratulations! Your merge request will get reviewed and probably be merged in.
   
   === Submitting an Issue
   
  -We use the https://gitlab.com/oskopek/mff-csharp-project/issues[gitlab issue tracker] to track bugs and features. Before
  +We use the https://gitlab.com/oskopek/neuralnetworknet/issues[gitlab issue tracker] to track bugs and features. Before
   submitting a bug report or feature request, check to make sure it hasn't
  -already been submitted. When submitting a bug report, please include a https://gist.gitlab.com/[Gist]
  +already been submitted. When submitting a bug report, please include a https://gitlab.com/dashboard/snippets[Gist]
   that includes a stack trace and any details that may be necessary to reproduce
  -the bug, including your Java version and operating system.
  +the bug, including your .NET Core version and operating system.
   
   === Contributing
   
  
positive.code: * by writing specifications
  * by writing code (*no patch is too small*: fix typos, add comments, clean up inconsistent whitespace)
  * by refactoring code
  * by closing https://gitlab.com/oskopek/mff-csharp-project/issues[issues]
  * by reviewing patches
  
  === Submitting a Pull Request
  . http://help.gitlab.com/fork-a-repo/[Fork the repository]
  . http://learn.gitlab.com/p/branching.html[Create a topic branch]
  . Optional: To ease the process of contributing code back into mff-csharp-project,
  please set-up https://gitlab.com/oskopek/ide-config[IDE coding templates] first
  . Implement your feature or bug fix
  . If applicable, add tests and documentation for your feature or bug fix
  (see link:./docs/howto-write-documentation.adoc[How-to write documentation])
  . Run `mvn clean install -Pit`
  . If the tests fail, return to step 3 and 4
  . Add, commit, and push your changes
  . http://help.gitlab.com/send-pull-requests/[Submit a pull request]
  
  === Data format
  
  For all input and output format, we use JSON.
  Currently, the input/output format depends directly on the model, and may be subject to future changes.
  
  
negative.code: = NeuralNetwork.NET
  
  image:https://gitlab.com/oskopek/neuralnetworknet/badges/master/build.svg["GitLab Build Status", link="https://gitlab.com/oskopek/neuralnetworknet/commits/master"]
  image:https://www.openhub.net/p/neuralnetworknet/widgets/project_thin_badge.gif["Ohloh widget", link="https://www.openhub.net/p/neuralnetworknet"]
  
  NeuralNetwork.NET is a simple distributed framework for training and evaluating neural network modules written in C#.
  
  === Screenshot
  image:./docs/img/screenshot.png["NeuralNetwork.NET screenshot", scaledwidth="20%"]
  
  === Getting help
  
  *For users looking for help*: a manual describing all possible features of NeuralNetwork.NET is available in the app itself:
  link:./docs/user/index.adoc[the docs folder].
  
  Post any development questions or comments you may have on Stack Overflow and tag it with `[neuralnetworknet]`.
  Don't hesitate to https://gitlab.com/oskopek/neuralnetworknet/issues[open an issue].
  
  === Running NeuralNetwork.NET releases
  
  * Download a release from https://gitlab.com/oskopek/neuralnetworknet/tags[]
  
  ==== Linux with `dotnet`
  
  * Download the *source archive*: `neuralnetworknet-VERSION-src.zip`
  * Extract it using your favourite archive tool: `unzip neuralnetworknet-VERSION-src.zip`
  * `cd` into the extracted directory and execute `dotnet run`.
  
  ==== Windows with `.NET Core`
  
  *TODO*
  
  === Building & running NeuralNetwork.NET
  
  * See the section (further down) on How-to setup your *build environment* first.
  * *Recommended*: `./clean.sh; ./build-all.sh; dotnet run`
  * To run *unit tests*: `./test-all.sh`
  //* To run *integration tests*: `./test-all-integration.sh`
  * To *clean*, run: `./clean.sh`
  * *Run NeuralNetwork.NET*:
  ** If you followed the build environment setup and want to run your version of NeuralNetwork.NET,
  run `dotnet run` from the main project directory.
  
  NeuralNetwork.NET uses http://semver.org/[semantic versioning].
  
  === Setup your build environment
  
  