Towards optimized forward–forward training for neural networks
This study investigates and enhances the Forward–Forward (FF) algorithm, a novel neural network training approach recently introduced by Geoffrey Hinton. Unlike Back-Propagation (BP), which relies on separate forward and backward passes, FF performs two forward passes, one with positive (real) data and one with negativ...