Add workflow to publish slides; Update README.md

Author: cr-xu

.github/workflows/publish_website.yaml

@@ -0,0 +1,42 @@
+name: publish_website
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+    push_to_branch:
+        runs-on: ubuntu-latest
+        steps:
+            - name: Checkout
+              uses: actions/checkout@v2
+              with:
+                fetch-depth: 0
+            
+            - name: Setup Python
+              uses: actions/setup-python@v2
+              with:
+                python-version: '3.x'
+            
+            - name: Install Jupyter
+              run: pip install notebook
+
+            - name: Export the notebook and Add files
+              run: |
+                mkdir temp
+                cp -r img/ temp/img/
+                jupyter nbconvert 1-neural_networks.ipynb --to slides
+                mv 1-neural_networks.slides.html temp/1-neural-networks.html
+                jupyter nbconvert 2-mnist_training.ipynb --to slides
+                mv 2-mnist_training.slides.html temp/2-mnist-training.html
+                mv README.md temp/README.md
+                ls -R temp
+
+            - name: Deploy
+              uses: s0/git-publish-subdir-action@develop
+              env:
+                REPO: self
+                BRANCH: website
+                FOLDER: temp
+                GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

README.md

@@ -1,14 +1,17 @@
 # Tutorial on basic neural network concepts
+
 [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
 
 - [Download the repository](#download-the-repository)
 - [Getting started](#getting-started)
 - [Running the tutorial](#running-the-tutorial)
 
 ## Material for this tutorial
+
 - The theoretical lecture can be found here
 - The tutorial in slide form is here
-
+  - [Part 1: Neural network basics](https://machine-learning-tutorial.github.io/neural-networks/1-neural-networks.html#/)
+  - [Part 2: Training on MNIST dataset](https://machine-learning-tutorial.github.io/neural-networks/2-mnist-training.html#/)
 
 ## Download the repository
 
@@ -116,8 +119,10 @@ The first part of the tutorial is in `1-neural_networks.ipynb`.
 The second part of the tutorial is in `2-mnist_training.ipynb`
 
 ## Citing the tutorial
-This tutorial is registered [Zenodo](https://zenodo.org/), which means that there is a DOI for each code release. 
+
+This tutorial is registered [Zenodo](https://zenodo.org/), which means that there is a DOI for each code release.
 Please use this DOI when citing this code:
 
 ## Disclaimer
+
 The content of this repository was developed by the [AI4Accelerators team](https://www.ibpt.kit.edu/AI4Accelerators.php) at the [Institute of Beam Physics and Technology (IBPT)](https://www.ibpt.kit.edu/), [Karlsruhe Institute of Technology](https://www.kit.edu/english/).