What is Generative Modeling?
Generative Modeling refers to the task of learning and modeling the underlying probability distribution of a dataset to generate new, realistic samples. It involves training models such as
Generative Adversarial Networks (GANs) or Variational
Autoencoders (VAEs) to generate new data points that resemble the original training data.
