Posts tagged "deep-learning"
2 posts found
Manifold-Constrained Hyper-Connections: Stabilizing Deep Networks Beyond ResNets (with the actual math)
From residual identity paths to Hyper-Connections and mHC — now with the paper's exact equations, fully unrolled products, and concrete numeric examples
deep-learningneural-networkslinear-algebra
Manifold-Constrained Hyper-Connections: Stabilizing Deep Networks Beyond ResNets
A deep dive into why residual connections work, how Hyper-Connections generalize them, and why constraining learned skip paths to doubly stochastic matrices solves the instability problem
deep-learningneural-networkslinear-algebra