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Classification practice problems in PyTorch
Difficulty:
Category:
Tag:
Showing 14 of 14
| Status | Title | Difficulty | Category | Tags |
|---|---|---|---|---|
| Accuracy – Multiclass | Easy | Primitives |
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| AUC-ROC | Medium | Primitives |
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| Confusion Matrix | Easy | Primitives |
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| Implement Binary Cross-Entropy Loss | Medium | Primitives |
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| Implement Cross-Entropy Loss | Medium | Primitives |
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| Implement One-Hot Encoding | Easy | Primitives |
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| Label Smoothing | Easy | Research |
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| Logistic Regression From Scratch | Easy | End-to-End |
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| Multi-Class Classifier | Easy | End-to-End |
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| Precision, Recall & F1 | Medium | Primitives |
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| Train Binary Classifier End-to-End | Medium | End-to-End |
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| Train Multiclass Classifier with Early Stopping | Medium | End-to-End |
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| Train ViT Classifier End-to-End | Hard | End-to-End |
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| ViT Classification Forward | Hard | End-to-End |
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