Neural Networks with weight plus input instead of multiplication?
Summary This postmortem analyzes an experimental neural‑network design that replaces the standard weighted multiplication (w_i x_i) with a weight–input addition (w_i + x_i). While the idea appears computationally attractive, the resulting model underperforms and introduces structural issues that make deeper architectures difficult to train—even with autograd. Root Cause The core issue is that addition destroys … Read more