Research5h ago
Neural Network Training via Catapulting
A new training method called Catapulting uses a specific weight-initialization technique to mimic human-like learning patterns. It reduces the computational overhead required for convergence in deep networks. Researchers found this approach stabilizes gradients more effectively than standard methods. This offers a lightweight alternative for developers optimizing small-scale model training cycles.