Generative Model

Generative models are statistical models that learn to generate data that resembles a given dataset. They can create new samples by capturing the underlying patterns and structures of the training data. Common examples include generative adversarial networks (GANs) and variational autoencoders (VAEs). These models are widely used in applications such as image synthesis, text generation, and music composition.