removed inaccurate link

3b-more-details.ipynb

@@ -68,14 +68,18 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "heading_collapsed": true
+   },
    "source": [
     "## Bayes Theorem"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "hidden": true
+   },
    "source": [
     "Ex: Physicist Leonard Mlodinow tested positive for HIV in 1989.  \n",
     "\tHis doctor said there was a 99.9% chance he had HIV.  \n",
@@ -95,7 +99,9 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "hidden": true
+   },
    "source": [
     "This example is from the book:\n",
     "\n",
@@ -104,22 +110,28 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "hidden": true
+   },
    "source": [
     "Bayes Theorem (for conditional probabilities): $$ P(A | B) P(B) = P(B | A) P(A) $$"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "hidden": true
+   },
    "source": [
     "### Answer"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {},
+   "metadata": {
+    "hidden": true
+   },
    "outputs": [
     {
      "ename": "SyntaxError",
@@ -971,7 +983,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.7.1"
   }
  },
  "nbformat": 4,

6b-rnn-english-numbers-GRU.ipynb

@@ -1,12 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This notebook was part of [Lesson 7](https://course.fast.ai/videos/?lesson=7) of the Practical Deep Learning for Coders course."
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -833,7 +826,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.7.1"
   }
  },
  "nbformat": 4,