From 110de1488b389f6d915a8d77d5b373ee1073c167 Mon Sep 17 00:00:00 2001
From: udlbook <110402648+udlbook@users.noreply.github.com>
Date: Tue, 31 Oct 2023 12:01:20 +0000
Subject: [PATCH] Created using Colaboratory

---
 Notebooks/Chap06/6_2_Gradient_Descent.ipynb | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/Notebooks/Chap06/6_2_Gradient_Descent.ipynb b/Notebooks/Chap06/6_2_Gradient_Descent.ipynb
index 921b75b..276d8a3 100644
--- a/Notebooks/Chap06/6_2_Gradient_Descent.ipynb
+++ b/Notebooks/Chap06/6_2_Gradient_Descent.ipynb
@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyM/FIXDTd6tZYs6WRzK00hB",
+      "authorship_tag": "ABX9TyN2N4cCnlIobOZXEjcwAvZ5",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -301,7 +301,7 @@
     {
       "cell_type": "markdown",
       "source": [
-        "Now we are ready to perform gradient descent.  We'll need to use our line search routine from part I, which I've reproduced here plus the helper function loss_function_1D that converts from a 2D problem to a 1D problem"
+        "Now we are ready to perform gradient descent.  We'll need to use our line search routine from noteboo 6.1, which I've reproduced here plus the helper function loss_function_1D that converts from a 2D problem to a 1D problem"
       ],
       "metadata": {
         "id": "5EIjMM9Fw2eT"
@@ -375,9 +375,9 @@
       "source": [
         "def gradient_descent_step(phi, data,  model):\n",
         "  # TODO -- update Phi with the gradient descent step (equation 6.3)\n",
-        "  # 1. Compute the gradient\n",
-        "  # 2. Find the best step size alpha (use negative gradient as going downhill)\n",
-        "  # 3. Update the parameters phi\n",
+        "  # 1. Compute the gradient (you wrote this function above)\n",
+        "  # 2. Find the best step size alpha using line search function (above) -- use negative gradient as going downhill\n",
+        "  # 3. Update the parameters phi based on the gradient and the step size alpha.\n",
         "\n",
         "  return phi"
       ],