Ang-Jin Li

Forward-Only Learning for Shared-Kernel Wavelet Neural Networks without Backpropagation

Backpropagation remains the dominant training paradigm, using backward gradients and local updates that can suffer from vanishing or exploding gradients in deep networks. Although the Forward-Forward algorithm avoids conventional backpropagation, it remains mainly local or layer-wise, motivating global whole-network le...