Size Diversity Network

A Size Diversity Network (SDN) is a type of neural network designed to improve learning by combining models of different sizes or complexities. Unlike traditional networks that use a single, fixed architecture, SDNs integrate multiple models—ranging from smaller, faster ones to larger, more detailed ones—allowing the system to adapt to various tasks and data patterns efficiently. This structure enhances performance, robustness, and computational efficiency, making it suitable for applications where flexibility and resource management are important. Essentially, SDNs leverage the strengths of diverse model sizes within a unified framework for better overall results.