Neural Network Training

SIGNAL ANALYSIS

Neural networks rely on optimizers that treat each weight matrix as one object, but these matrices have two parts: magnitude and direction. Decoupling these parts could improve training. This approach is tested in a preprint, but its real-world impact is still unclear.