Model Quantization — Roadmap Step & Resources
Reducing numerical precision of weights to shrink models and speed up inference
- Level: advanced
- Estimated time: 1 days
- Roadmap: Deep Learning & Neural Networks
Interview questions
- What's the trade-off you accept when quantizing a model from float32 to int8?
Study resources
- Quantization (Article) — The official PyTorch documentation on quantizing models for faster inference.
- Model Quantization Explained (Video) — A practical explanation of reducing model precision to speed up inference.
Part of
- Model Optimization & Deployment for Deep Learning — section
- Deep Learning & Neural Networks roadmap — the full learning path