notebook updates

Author: Matt Sokoloff

examples/annotation_types/label_containers.ipynb

@@ -7,8 +7,8 @@
    "source": [
     "# Label Containers\n",
     "* There are two high level containers for labels\n",
-    "    1. LabelList\n",
-    "    2. LabelGenerator\n",
+    "    1. [`LabelList`](#LabelList)\n",
+    "    2. [`LabelGenerator`](#LabelGenerator)\n",
     "* Tools that are built to convert between formats, help with etl, and model training all will operate on these containers\n",
     "* Make sure to read basics. Explanations are not repeated here"
    ]
@@ -91,8 +91,9 @@
    "id": "cubic-burlington",
    "metadata": {},
    "source": [
-    "#### Helper Functions\n",
-    "* See basics for details on this"
+    "### Helper Functions\n",
+    "* The following functions are explained in the [basics notebooks](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/develop/examples/annotation_types/basics.ipynb)\n",
+    "* Please skip to the [LabelList](#LabelList) section to continue with this tutorial"
    ]
   },
   {
@@ -255,7 +256,7 @@
     "# LabelList\n",
     "* This object is essentially a list of Labels with a set of helpful utilties\n",
     "* This object is simple and fast at the expense of memory\n",
-    "    * Larger datasets shouldn't use label list ( or at least will require more ram ).\n",
+    "    * Larger datasets shouldn't use label list ( or at least will require more memory ).\n",
     "* Why use label list over just a list of labels?\n",
     "    * Multithreaded utilities (faster)\n",
     "    * Compatible with converter functions (functions useful for translating between formats, etl, and training )"