diff --git a/Notebooks/Chap06/6_3_Stochastic_Gradient_Descent.ipynb b/Notebooks/Chap06/6_3_Stochastic_Gradient_Descent.ipynb
index eccb5aa..1ad3a89 100644
--- a/Notebooks/Chap06/6_3_Stochastic_Gradient_Descent.ipynb
+++ b/Notebooks/Chap06/6_3_Stochastic_Gradient_Descent.ipynb
@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyN/trn2b+dsX0Qcg4ZzNZEf",
+      "authorship_tag": "ABX9TyNk5FN4qlw3pk8BwDVWw1jN",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -547,7 +547,7 @@
         "for c_step in range (n_steps):\n",
         "  # Do gradient descent step\n",
         "  phi_all[:,c_step+1:c_step+2] = stochastic_gradient_descent_step(phi_all[:,c_step:c_step+1],data, alpha =0.8, batch_size=5)\n",
-        "  # Measure loss and draw model every 4th step\n",
+        "  # Measure loss and draw model every 8th step\n",
         "  if c_step % 8 == 0:\n",
         "    loss =  compute_loss(data[0,:], data[1,:], model, phi_all[:,c_step+1:c_step+2])\n",
         "    draw_model(data,model,phi_all[:,c_step+1], \"Iteration %d, loss = %f\"%(c_step+1,loss))\n",