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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/02-tutorial-cnn-modified-vals.ipynb
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@@ -378,36 +378,36 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1: Loss=1.763, Accuracy=41.55%\n",
"Epoch 2: Loss=1.320, Accuracy=55.89%\n",
"Epoch 3: Loss=1.035, Accuracy=63.69%\n",
"Epoch 4: Loss=0.915, Accuracy=68.51%\n",
"Epoch 5: Loss=0.845, Accuracy=70.83%\n",
"Epoch 6: Loss=0.807, Accuracy=72.21%\n",
"Epoch 7: Loss=0.766, Accuracy=73.35%\n",
"Epoch 8: Loss=0.752, Accuracy=73.76%\n",
"Epoch 9: Loss=0.720, Accuracy=75.00%\n",
"Epoch 10: Loss=0.688, Accuracy=76.09%\n",
"Epoch 11: Loss=0.646, Accuracy=77.31%\n",
"Epoch 12: Loss=0.623, Accuracy=78.31%\n",
"Epoch 13: Loss=0.596, Accuracy=79.13%\n",
"Epoch 14: Loss=0.567, Accuracy=80.19%\n",
"Epoch 15: Loss=0.530, Accuracy=81.66%\n",
"Epoch 16: Loss=0.502, Accuracy=82.52%\n",
"Epoch 17: Loss=0.473, Accuracy=83.62%\n",
"Epoch 18: Loss=0.447, Accuracy=84.63%\n",
"Epoch 19: Loss=0.416, Accuracy=85.71%\n",
"Epoch 20: Loss=0.401, Accuracy=86.22%\n",
"Epoch 21: Loss=0.353, Accuracy=87.89%\n",
"Epoch 22: Loss=0.321, Accuracy=89.02%\n",
"Epoch 23: Loss=0.282, Accuracy=90.39%\n",
"Epoch 24: Loss=0.260, Accuracy=91.10%\n",
"Epoch 25: Loss=0.243, Accuracy=91.71%\n",
"Epoch 26: Loss=0.203, Accuracy=93.18%\n",
"Epoch 27: Loss=0.169, Accuracy=94.36%\n",
"Epoch 28: Loss=0.139, Accuracy=95.55%\n",
"Epoch 29: Loss=0.112, Accuracy=96.42%\n",
"Epoch 30: Loss=0.106, Accuracy=96.63%\n",
"Epoch 1: Loss=1.732, Accuracy=43.80%\n",
"Epoch 2: Loss=1.403, Accuracy=54.06%\n",
"Epoch 3: Loss=1.137, Accuracy=60.66%\n",
"Epoch 4: Loss=1.003, Accuracy=64.95%\n",
"Epoch 5: Loss=0.917, Accuracy=67.92%\n",
"Epoch 6: Loss=0.845, Accuracy=70.22%\n",
"Epoch 7: Loss=0.796, Accuracy=72.06%\n",
"Epoch 8: Loss=0.741, Accuracy=73.88%\n",
"Epoch 9: Loss=0.711, Accuracy=75.05%\n",
"Epoch 10: Loss=0.670, Accuracy=76.52%\n",
"Epoch 11: Loss=0.636, Accuracy=77.59%\n",
"Epoch 12: Loss=0.611, Accuracy=78.49%\n",
"Epoch 13: Loss=0.580, Accuracy=79.42%\n",
"Epoch 14: Loss=0.546, Accuracy=80.87%\n",
"Epoch 15: Loss=0.519, Accuracy=81.77%\n",
"Epoch 16: Loss=0.502, Accuracy=82.36%\n",
"Epoch 17: Loss=0.474, Accuracy=83.28%\n",
"Epoch 18: Loss=0.445, Accuracy=84.34%\n",
"Epoch 19: Loss=0.424, Accuracy=85.12%\n",
"Epoch 20: Loss=0.392, Accuracy=86.07%\n",
"Epoch 21: Loss=0.366, Accuracy=86.99%\n",
"Epoch 22: Loss=0.330, Accuracy=88.30%\n",
"Epoch 23: Loss=0.304, Accuracy=89.51%\n",
"Epoch 24: Loss=0.267, Accuracy=90.67%\n",
"Epoch 25: Loss=0.227, Accuracy=92.35%\n",
"Epoch 26: Loss=0.222, Accuracy=92.38%\n",
"Epoch 27: Loss=0.176, Accuracy=94.24%\n",
"Epoch 28: Loss=0.156, Accuracy=94.71%\n",
"Epoch 29: Loss=0.143, Accuracy=94.92%\n",
"Epoch 30: Loss=0.124, Accuracy=95.87%\n",
"Finished Training\n"
]
}
@@ -472,7 +472,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Test Accuracy: 77.52%\n"
"Test Accuracy: 78.54%\n"
]
}
],
@@ -502,14 +502,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy for class: Bicycle is 57.6%\n",
"Accuracy for class: Bus is 76.4%\n",
"Accuracy for class: Car is 82.3%\n",
"Accuracy for class: Motorcycle is 72.5%\n",
"Accuracy for class: NonVehicles is 99.1%\n",
"Accuracy for class: Taxi is 27.8%\n",
"Accuracy for class: Truck is 38.9%\n",
"Accuracy for class: Van is 25.0%\n"
"Accuracy for class: Bicycle is 52.4%\n",
"Accuracy for class: Bus is 79.0%\n",
"Accuracy for class: Car is 74.9%\n",
"Accuracy for class: Motorcycle is 85.9%\n",
"Accuracy for class: NonVehicles is 98.7%\n",
"Accuracy for class: Taxi is 58.2%\n",
"Accuracy for class: Truck is 44.9%\n",
"Accuracy for class: Van is 29.8%\n"
]
}
],