Beginner · Systems
Compact model
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A small, efficient machine learning model designed for deployment on devices with limited resources.
Technical Definition
A small, efficient machine learning model designed for deployment on devices with limited resources.
How it works
A compact model is a machine learning model optimized for size and computational efficiency, making it suitable for devices with limited processing power, memory, or battery life. These models are often deployed on mobile phones, embedded systems, or IoT devices where larger, more resource-intensive models would be impractical. Techniques like model compression and quantization are often used to create compact models.
Related Concepts
- Model Compression — Techniques for shrinking models while preserving most of their performance.