a simple README

README.md

@@ -1,31 +1,3 @@
 # Introduction to deep learning for particle physicists
 
-Material for introducing deep neural networks to students with a particle physics background.
-
-## Usage
-
-### Building the book
-
-If you'd like to develop and/or build the Introduction to deep learning for particle physicists book, you should:
-
-1. Clone this repository
-2. Run `pip install -r requirements.txt` (it is recommended you do this within a virtual environment)
-3. (Optional) Edit the books source files located in the `deep-learning-intro-for-hep/` directory
-4. Run `jupyter-book clean deep-learning-intro-for-hep/` to remove any existing builds
-5. Run `jupyter-book build deep-learning-intro-for-hep/`
-
-A fully-rendered HTML version of the book will be built in `deep-learning-intro-for-hep/_build/html/`.
-
-### Hosting the book
-
-Please see the [Jupyter Book documentation](https://jupyterbook.org/publish/web.html) to discover options for deploying a book online using services such as GitHub, GitLab, or Netlify.
-
-For GitHub and GitLab deployment specifically, the [cookiecutter-jupyter-book](https://github.com/executablebooks/cookiecutter-jupyter-book) includes templates for, and information about, optional continuous integration (CI) workflow files to help easily and automatically deploy books online with GitHub or GitLab. For example, if you chose `github` for the `include_ci` cookiecutter option, your book template was created with a GitHub actions workflow file that, once pushed to GitHub, automatically renders and pushes your book to the `gh-pages` branch of your repo and hosts it on GitHub Pages when a push or pull request is made to the main branch.
-
-## Contributors
-
-We welcome and recognize all contributions. You can see a list of current contributors in the [contributors tab](https://github.com/jpivarski/deep-learning-intro-for-hep/graphs/contributors).
-
-## Credits
-
-This project is created using the excellent open source [Jupyter Book project](https://jupyterbook.org/) and the [executablebooks/cookiecutter-jupyter-book template](https://github.com/executablebooks/cookiecutter-jupyter-book).
+[Click here to start reading!](https://hsf-training.github.io/deep-learning-intro-for-hep/)