Multi -Semantic-Stage Neural Networks
Christopher Menart, Michael L. Raymer · 2024
Most deep neural networks today optimize directly for performance on a task using only example input/output pairs. However, this excludes potential sources of knowledge which could improve performance. We propose a generalized frame-work for neural architectures which contain many semantically-meaningful variables. We call it the Multi-Semantic-Stage Neural Network (MSSNN).