Update week14.ipynb

Author: mhjensen

doc/pub/week14/ipynb/week14.ipynb

@@ -1656,7 +1656,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "87664cf5",
    "metadata": {},
    "outputs": [
@@ -1678,7 +1678,13 @@
       "(finite-difference gradients through NumPy circuit + Adam)\n",
       "Note: FD gradient cost ≈ 2 × n_params × batch forward passes per step.\n",
       "Expected wall time on CPU: ~5–20 min for 500 epochs.\n",
-      "  [QNN] ep    1/500  train=19.02416  val=15.11954  lr=1.00e-02\n"
+      "  [QNN] ep    1/500  train=19.02416  val=15.11954  lr=1.00e-02\n",
+      "  [QNN] ep  100/500  train=1.12937  val=0.64656  lr=9.05e-03\n",
+      "  [QNN] ep  200/500  train=0.25513  val=0.13218  lr=6.55e-03\n",
+      "  [QNN] ep  300/500  train=0.14770  val=0.09296  lr=3.45e-03\n",
+      "  [QNN] ep  400/500  train=0.12298  val=0.08080  lr=9.55e-04\n",
+      "  [QNN] ep  500/500  train=0.12037  val=0.07963  lr=0.00e+00\n",
+      "  Wall time: 1824.0s\n"
      ]
     }
    ],