made modified noteboo to exploit GPU but overfits

notebooks/tutorial-cnn.ipynb

@@ -2,7 +2,7 @@
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@@ -20,7 +20,7 @@
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@@ -61,7 +61,7 @@
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@@ -110,7 +110,7 @@
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@@ -150,7 +150,7 @@
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@@ -184,7 +184,7 @@
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@@ -222,7 +222,7 @@
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@@ -257,7 +257,7 @@
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+   "execution_count": 24,
    "id": "e1539eaa",
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@@ -289,7 +289,7 @@
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    "id": "d1b7d9ca",
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@@ -347,7 +347,7 @@
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    "id": "54d11a04",
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@@ -370,7 +370,7 @@
   },
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+   "execution_count": 27,
    "id": "374d0590",
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    "outputs": [
@@ -378,16 +378,16 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch 1: Loss=1.575, Accuracy=50.54%\n",
-      "Epoch 2: Loss=1.196, Accuracy=60.35%\n",
-      "Epoch 3: Loss=1.018, Accuracy=64.98%\n",
-      "Epoch 4: Loss=0.909, Accuracy=68.58%\n",
-      "Epoch 5: Loss=0.842, Accuracy=70.87%\n",
-      "Epoch 6: Loss=0.784, Accuracy=72.83%\n",
-      "Epoch 7: Loss=0.738, Accuracy=74.24%\n",
-      "Epoch 8: Loss=0.703, Accuracy=75.30%\n",
-      "Epoch 9: Loss=0.671, Accuracy=76.30%\n",
-      "Epoch 10: Loss=0.641, Accuracy=77.64%\n",
+      "Epoch 1: Loss=1.626, Accuracy=45.59%\n",
+      "Epoch 2: Loss=1.137, Accuracy=60.53%\n",
+      "Epoch 3: Loss=0.992, Accuracy=65.56%\n",
+      "Epoch 4: Loss=0.911, Accuracy=68.28%\n",
+      "Epoch 5: Loss=0.853, Accuracy=70.51%\n",
+      "Epoch 6: Loss=0.806, Accuracy=72.12%\n",
+      "Epoch 7: Loss=0.753, Accuracy=73.36%\n",
+      "Epoch 8: Loss=0.708, Accuracy=75.08%\n",
+      "Epoch 9: Loss=0.669, Accuracy=76.77%\n",
+      "Epoch 10: Loss=0.637, Accuracy=77.62%\n",
       "Finished Training\n"
      ]
     }
@@ -425,7 +425,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 28,
    "id": "2bf2b9a2",
    "metadata": {},
    "outputs": [],
@@ -444,7 +444,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 29,
    "id": "bc158602",
    "metadata": {},
    "outputs": [
@@ -452,7 +452,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Test Accuracy: 74.53%\n"
+      "Test Accuracy: 73.82%\n"
      ]
     }
    ],
@@ -474,7 +474,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 30,
    "id": "8cc7ed40",
    "metadata": {},
    "outputs": [
@@ -482,14 +482,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Accuracy for class: Bicycle    is 43.5%\n",
-      "Accuracy for class: Bus        is 53.8%\n",
-      "Accuracy for class: Car        is 87.6%\n",
-      "Accuracy for class: Motorcycle is 75.2%\n",
-      "Accuracy for class: NonVehicles is 99.0%\n",
-      "Accuracy for class: Taxi       is 20.0%\n",
-      "Accuracy for class: Truck      is 13.9%\n",
-      "Accuracy for class: Van        is 24.7%\n"
+      "Accuracy for class: Bicycle    is 60.3%\n",
+      "Accuracy for class: Bus        is 84.7%\n",
+      "Accuracy for class: Car        is 74.3%\n",
+      "Accuracy for class: Motorcycle is 59.7%\n",
+      "Accuracy for class: NonVehicles is 99.9%\n",
+      "Accuracy for class: Taxi       is 35.9%\n",
+      "Accuracy for class: Truck      is 16.4%\n",
+      "Accuracy for class: Van        is 27.3%\n"
      ]
     }
    ],