Add figure-caption, collapse license.

samples/core/get_started/basic_classification.ipynb

@@ -16,6 +16,16 @@
     }
   },
   "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "[View in Colaboratory](https://colab.research.google.com/github/MarkDaoust/models/blob/basic-classification/samples/core/get_started/basic_classification.ipynb)"
+      ]
+    },
     {
       "metadata": {
         "id": "MhoQ0WE77laV",
@@ -127,7 +137,15 @@
       "source": [
         "This guide uses the [Fashion MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset which contains 70,000 grayscale images in 10 categories. The images show individual articles of clothing at low resolution (28 by 28 pixels), as seen here:\n",
         "\n",
-        "<img src=\"https://tensorflow.org/images/fashion-mnist-sprite.png\" alt=\"Fashion MNIST spirte\" width=\"600\">\n",
+        "<table>\n",
+        "  <tr><td>\n",
+        "    <img src=\"https://tensorflow.org/images/fashion-mnist-sprite.png\"\n",
+        "         alt=\"Fashion MNIST sprite\"  width=\"600\">\n",
+        "  </td></tr>\n",
+        "  <tr><td align=\"center\">\n",
+        "    <b>Figure 1.</b> <a href=\"https://github.com/zalandoresearch/fashion-mnist\">Fashion-MNIST samples</a> (by Zalando, MIT License).<br/>&nbsp;\n",
+        "  </td></tr>\n",
+        "</table>\n",
         "\n",
         "Fashion MNIST is intended as a drop-in replacement for the classic [MNIST](http://yann.lecun.com/exdb/mnist/) dataset—often used as the \"Hello, World\" of machine learning programs for computer vision. The MNIST dataset contains images of handwritten digits (0, 1, 2, etc) in an identical format to the articles of clothing we'll use here.\n",
         "\n",