forward-forward-learning

Proposes Adaptive Multi-Scale Goodness Aggregation (AMSGA), an extension of the Forward-Forward algorithm that improves stability, robustness, and generalization via multi-scale goodness aggregation, adaptive hard negative mining, and layer-dependent thresholds, achieving modest accuracy gains on MNIST and Fashion-MNIST.