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Amol Kaushik commited on
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Parent(s): cb9b728
minor
Browse files- A9/A9_Report.ipynb +2 -4
A9/A9_Report.ipynb
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"source": [
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"## 2. Deep Learning Steps Overview\n",
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"The 7-step Deep Learning workflow:\n",
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"\n",
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"| Step | Description | Implementation |\n",
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"|------|-------------|----------------|\n",
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"| 1 | Load Data | `load_all_sequences()` in models.py |\n",
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"## 3. Model Architectures\n",
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"### Dense
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"- Fully-connected layers\n",
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"- Treats each frame independently\n",
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"- Configuration: (256, 128, 64) hidden units, ReLU, dropout 0.3\n",
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"\n",
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"### Conv1D
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"- 1D convolutional layers for temporal patterns\n",
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"- Window size: 30 frames\n",
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"- Best variant (v3): filters=(128, 256), kernel=3, pool=3, dense=(256, 128, 64)\n",
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"source": [
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"## 2. Deep Learning Steps Overview\n",
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"\n",
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"| Step | Description | Implementation |\n",
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"|------|-------------|----------------|\n",
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"| 1 | Load Data | `load_all_sequences()` in models.py |\n",
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"source": [
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"## 3. Model Architectures\n",
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"\n",
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"### Dense\n",
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"- Fully-connected layers\n",
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"- Treats each frame independently\n",
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"- Configuration: (256, 128, 64) hidden units, ReLU, dropout 0.3\n",
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"\n",
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"### Conv1D\n",
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"- 1D convolutional layers for temporal patterns\n",
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"- Window size: 30 frames\n",
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"- Best variant (v3): filters=(128, 256), kernel=3, pool=3, dense=(256, 128, 64)\n",
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