Generating a Dataset with GANs

Generative Adversarial Networks (GANs) — Adobe Stock Image

Having a dataset is a key component to training any sort of machine learning model. But what about instances where you may not have access to the data? Not being able to use a dataset because of data regulation and privacy concerns poses a problem when trying to apply machine learning. How can we train models without being able to use the relevant dataset?