What is deep generative models?

Deep generative models are a class of machine learning models that learn to generate new data instances that resemble the training data. They are based on deep neural networks and can be used for a variety of tasks, including image generation, text generation, and audio generation. Common types of deep generative models include Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs).