Enhancing Generalization in Deep Neural Networks through Improved Random Weight Perturbation

Improving the generalization ability of deep neural networks through the use of random weight perturbation, with enhancements to address the trade-off between generalization and convergence, and to generate more adaptive random weight perturbations.