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Added Deep CNN and ayugmentation

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KeshavAnandCode
2026-03-18 22:59:28 -05:00
parent 59f26a299c
commit 6f854a9d62
6 changed files with 1461 additions and 151 deletions
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notebooks/04-batch-norm-dropout.ipynb
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@@ -289,7 +289,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 9,
"id": "d1b7d9ca",
"metadata": {},
"outputs": [
@@ -418,36 +418,36 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1: Loss=1.374, Accuracy=60.99%\n",
"Epoch 2: Loss=0.841, Accuracy=70.39%\n",
"Epoch 3: Loss=0.718, Accuracy=74.55%\n",
"Epoch 4: Loss=0.651, Accuracy=76.96%\n",
"Epoch 5: Loss=0.595, Accuracy=78.95%\n",
"Epoch 6: Loss=0.551, Accuracy=80.34%\n",
"Epoch 7: Loss=0.536, Accuracy=81.03%\n",
"Epoch 8: Loss=0.505, Accuracy=82.37%\n",
"Epoch 9: Loss=0.478, Accuracy=82.90%\n",
"Epoch 10: Loss=0.452, Accuracy=83.73%\n",
"Epoch 11: Loss=0.432, Accuracy=84.58%\n",
"Epoch 12: Loss=0.401, Accuracy=85.61%\n",
"Epoch 13: Loss=0.385, Accuracy=86.30%\n",
"Epoch 14: Loss=0.369, Accuracy=86.80%\n",
"Epoch 15: Loss=0.350, Accuracy=87.43%\n",
"Epoch 16: Loss=0.340, Accuracy=87.60%\n",
"Epoch 17: Loss=0.321, Accuracy=87.97%\n",
"Epoch 18: Loss=0.298, Accuracy=89.02%\n",
"Epoch 19: Loss=0.267, Accuracy=90.22%\n",
"Epoch 20: Loss=0.254, Accuracy=90.49%\n",
"Epoch 21: Loss=0.237, Accuracy=91.32%\n",
"Epoch 22: Loss=0.224, Accuracy=91.75%\n",
"Epoch 23: Loss=0.209, Accuracy=92.18%\n",
"Epoch 24: Loss=0.196, Accuracy=92.79%\n",
"Epoch 25: Loss=0.185, Accuracy=93.13%\n",
"Epoch 26: Loss=0.167, Accuracy=93.72%\n",
"Epoch 27: Loss=0.171, Accuracy=93.74%\n",
"Epoch 28: Loss=0.158, Accuracy=94.04%\n",
"Epoch 29: Loss=0.148, Accuracy=94.42%\n",
"Epoch 30: Loss=0.125, Accuracy=95.63%\n",
"Epoch 1: Loss=1.455, Accuracy=59.60%\n",
"Epoch 2: Loss=0.872, Accuracy=69.47%\n",
"Epoch 3: Loss=0.748, Accuracy=73.57%\n",
"Epoch 4: Loss=0.669, Accuracy=76.44%\n",
"Epoch 5: Loss=0.613, Accuracy=78.60%\n",
"Epoch 6: Loss=0.575, Accuracy=79.73%\n",
"Epoch 7: Loss=0.539, Accuracy=80.91%\n",
"Epoch 8: Loss=0.507, Accuracy=82.19%\n",
"Epoch 9: Loss=0.483, Accuracy=82.79%\n",
"Epoch 10: Loss=0.461, Accuracy=83.69%\n",
"Epoch 11: Loss=0.439, Accuracy=84.35%\n",
"Epoch 12: Loss=0.409, Accuracy=85.46%\n",
"Epoch 13: Loss=0.396, Accuracy=85.98%\n",
"Epoch 14: Loss=0.369, Accuracy=86.39%\n",
"Epoch 15: Loss=0.356, Accuracy=87.00%\n",
"Epoch 16: Loss=0.351, Accuracy=87.15%\n",
"Epoch 17: Loss=0.330, Accuracy=88.06%\n",
"Epoch 18: Loss=0.307, Accuracy=88.95%\n",
"Epoch 19: Loss=0.286, Accuracy=89.57%\n",
"Epoch 20: Loss=0.253, Accuracy=90.44%\n",
"Epoch 21: Loss=0.244, Accuracy=91.00%\n",
"Epoch 22: Loss=0.233, Accuracy=91.22%\n",
"Epoch 23: Loss=0.225, Accuracy=91.56%\n",
"Epoch 24: Loss=0.201, Accuracy=92.63%\n",
"Epoch 25: Loss=0.198, Accuracy=92.55%\n",
"Epoch 26: Loss=0.178, Accuracy=93.46%\n",
"Epoch 27: Loss=0.169, Accuracy=93.60%\n",
"Epoch 28: Loss=0.149, Accuracy=94.44%\n",
"Epoch 29: Loss=0.153, Accuracy=94.34%\n",
"Epoch 30: Loss=0.135, Accuracy=95.05%\n",
"Finished Training\n"
]
}
@@ -512,7 +512,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Test Accuracy: 83.06%\n"
"Test Accuracy: 83.30%\n"
]
}
],
@@ -542,14 +542,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy for class: Bicycle is 77.6%\n",
"Accuracy for class: Bus is 74.9%\n",
"Accuracy for class: Car is 80.5%\n",
"Accuracy for class: Motorcycle is 83.3%\n",
"Accuracy for class: NonVehicles is 99.7%\n",
"Accuracy for class: Taxi is 53.4%\n",
"Accuracy for class: Truck is 51.6%\n",
"Accuracy for class: Van is 45.4%\n"
"Accuracy for class: Bicycle is 72.2%\n",
"Accuracy for class: Bus is 83.6%\n",
"Accuracy for class: Car is 82.9%\n",
"Accuracy for class: Motorcycle is 84.2%\n",
"Accuracy for class: NonVehicles is 99.6%\n",
"Accuracy for class: Taxi is 52.5%\n",
"Accuracy for class: Truck is 48.5%\n",
"Accuracy for class: Van is 45.0%\n"
]
}
],