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Model Compression
Data / Training / Evaluation
Reducing model size and complexity.
Model compression reduces the size and computational cost of neural networks while preserving accuracy.
- Techniques: Pruning, quantization, knowledge distillation.
- Applications: Mobile AI, embedded systems, edge devices.