diff --git a/Notebooks/Chap16/16_2_Autoregressive_Flows.ipynb b/Notebooks/Chap16/16_2_Autoregressive_Flows.ipynb
index 7d5839d..3f3b521 100644
--- a/Notebooks/Chap16/16_2_Autoregressive_Flows.ipynb
+++ b/Notebooks/Chap16/16_2_Autoregressive_Flows.ipynb
@@ -65,7 +65,7 @@
     {
       "cell_type": "code",
       "source": [
-        "# First let's make the 1D piecewise linear mapping as illustated in figure 16.5\n",
+        "# First let's make the 1D piecewise linear mapping as illustrated in figure 16.5\n",
         "def g(h, phi):\n",
         "  # TODO -- write this function (equation 16.12)\n",
         "  # Note: If you have the first printing of the book, there is a mistake in equation 16.12\n",
@@ -156,7 +156,7 @@
     {
       "cell_type": "markdown",
       "source": [
-        "Now let's define an autogressive flow.  Let's switch to looking at figure 16.7.# We'll assume that our piecewise function will use five parameters phi1,phi2,phi3,phi4,phi5"
+        "Now let's define an autoregressive flow.  Let's switch to looking at figure 16.7.# We'll assume that our piecewise function will use five parameters phi1,phi2,phi3,phi4,phi5"
       ],
       "metadata": {
         "id": "t8XPxipfd7hz"
@@ -175,7 +175,7 @@
         "  x = x/ np.sum(x) ;\n",
         "  return x\n",
         "\n",
-        "# Return value of phi that doesn't depend on any of the iputs\n",
+        "# Return value of phi that doesn't depend on any of the inputs\n",
         "def get_phi():\n",
         "  return np.array([0.2, 0.1, 0.4, 0.05, 0.25])\n",
         "\n",