added lines pointing to tutorials

Author: drinkingkazu

content/2018-04-12-MNIST_Trainer.ipynb

@@ -11,7 +11,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This is a pretty simple notebook.  We'll train a network to do mnist classification of digits with a convolutional network.  The point here is not to teach too much about training a network, but to show how to properly save and restore a modern network with tensorflow, and analyze the output."
+    "This is a pretty simple notebook.  We'll train a network to do mnist classification of digits with a convolutional network.  The point here is not to teach too much about training a network, but to show how to properly save and restore a modern network with tensorflow, and analyze the output. \n",
+    "\n",
+    "For a coherent set of tutorials that runs on your web-browser with Google's free GPU, check [this out](http://deeplearnphysics.org/Blog/2018-03-02-Colaboratory-Tutorial-Summary.html#2018-03-02-Colaboratory-Tutorial-Summary).  We are compiling blog posts like this one into the tutorials when we find time!"
    ]
   },
   {

content/2018-04-13-MNIST_Analyzer.ipynb

@@ -11,7 +11,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In the previous tutorial, I showed how to train a network with minibatching, batch norm, and writing to file to save the network weights.  Here, I'll show you how to restore that network to do analysis.  The network model itself is copy/pasted from the previous tutorial, though there are ways to load the network without knowing how it was constructed."
+    "In the previous tutorial, I showed how to train a network with minibatching, batch norm, and writing to file to save the network weights.  Here, I'll show you how to restore that network to do analysis.  The network model itself is copy/pasted from the previous tutorial, though there are ways to load the network without knowing how it was constructed.\n",
+    "\n",
+    "... and again :), check [this out](http://deeplearnphysics.org/Blog/2018-03-02-Colaboratory-Tutorial-Summary.html#2018-03-02-Colaboratory-Tutorial-Summary) for a coherent set of tutorials that runs on your web-browser with Google's free GPU. "
    ]
   },
   {