What are generative models in machine learning?

What are generative models in machine learning?

Generative models are a class of machine learning models that can generate new data points similar to a given dataset.

Can you give me some examples of generative models?

Sure! Examples include Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and normalizing flows.

How do GANs work?

GANs consist of two neural networks, a generator and a discriminator, that compete against each other to improve their performance.

What are some applications of generative models?

They are used in image generation, text synthesis, music creation, and even drug discovery.