Leveraging Generative Adversarial Networks (GANs) for Synthetic Data Generation
Generative Adversarial Networks (GANs) have emerged as a groundbreaking technique in the field of artificial intelligence and machine learning, particularly for generating synthetic data. Synthetic data generated by GANs can be invaluable in training machine learning models, especially in domains where data is scarce, sensitive, or expensive to obtain. This article delves into the fundamentals … Read more