Update Mission244Solutions.ipynb

Mission244Solutions.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Working With Image Data"
+    "## Working with Image Data"
    ]
   },
   {
@@ -324,7 +324,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Neural Network With One Hidden Layer"
+    "## Neural Network with One Hidden Layer"
    ]
   },
   {
@@ -474,7 +474,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Neural Network With Two Hidden Layers"
+    "## Neural Network with Two Hidden Layers"
    ]
   },
   {
@@ -549,14 +549,14 @@
    "source": [
     "### Summary\n",
     "\n",
-    "Using 2 hidden layers improved our simple accuracy to `98%`. While I'd traditionally be worried about overfitting, using 4-fold cross validation also gives me a bit more assurance that the model is generalizing to achieve the extra `1%` in simple accuracy over the single hidden layer networks we tried earlier."
+    "Using two hidden layers improved our simple accuracy to `98%`. While, traditionally, we might worry about overfitting, using four-fold cross validation also gives us a bit more assurance that the model is generalizing to achieve the extra `1%` in simple accuracy over the single hidden layer networks we tried earlier."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Neural Network With Three Hidden Layers"
+    "## Neural Network with Three Hidden Layers"
    ]
   },
   {
@@ -698,7 +698,7 @@
    "source": [
     "### Summary\n",
     "\n",
-    "Using 3 hidden layers returned a simple accuracy of nearly `98%`, even with 6-fold cross validation."
+    "Using three hidden layers returned a simple accuracy of nearly `98%`, even with six-fold cross validation."
    ]
   }
  ],
@@ -718,7 +718,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.2"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,