Enhancing Neural Network Performance with Generative Adversarial Networks
General Background Deep neural networks achieve remarkable success in computer vision but remain susceptible to overfitting and data scarcity. Specific Background Generative Adversarial Networks offer a framework to produce high-fidelity synthetic images through competitive zero-sum training between generator and discr...