Zalando Tutorial

README.md

@@ -9,4 +9,4 @@ This short introduction uses Keras to:
 - And, finally, evaluate the accuracy of the model.
 
 This is a Jupyter notebook file. Using Jupyter Notebooks you can run Python programs directly in the browser — a interactive way to learn and use TensorFlow. You can run this notebook in your THL JupyterHub account.
-Just follow this [link](https://jhub.mylab.th-luebeck.dev/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgit.mylab.th-luebeck.de%2Fkia%2Ftutorial.git&urlpath=lab%2Ftree%2Ftutorial.git%2Fmnist-tutorial.ipynb&branch=master).
+Just follow this [link](https://jhub.mylab.th-luebeck.dev/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgit.mylab.th-luebeck.de%2Fkia%2Ftutorial.git&urlpath=lab%2Ftree%2Ftutorial.git%2Fzalando-tutorial.ipynb&branch=master).

mnist-tutorial.ipynb

 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "rX8mhOLljYeM"
-   },
-   "source": [
-    "##### Copyright 2019 The TensorFlow Authors."
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -28,16 +19,9 @@
     "\n",
     "1. Build a neural network that classifies images.\n",
     "2. Train this neural network.\n",
-    "3. And, finally, evaluate the accuracy of the model."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "hiH7AC-NTniF"
-   },
-   "source": [
-    "To follow this tutorial, run the notebook in a Jupyter Notebook by selecting `Run -> Run all cells` in the menu."
+    "3. And, finally, evaluate the accuracy of the model.\n",
+    "\n",
+    "**To follow this tutorial, run this notebook in a Jupyter Notebook by selecting `Run -> Run all cells` in the menu.**"
    ]
   },
   {