Deep Machine Learning in AI -- Volume : 3

Generative models are a class of machine learning models that are designed to generate new data that is similar to the training data. They can be used for a variety of tasks, such as image synthesis, text generation, and anomaly detection. Generative Adversarial Networks (GANs): GANs are a type of generative model that consist of two parts: a generator network and a discriminator network. The generator network generates new data, and the discriminator network tries to distinguish the generated data from the real data. The two networks are trained together in an adversarial manner, with the generator trying to generate data that can fool the discriminator and the discriminator trying to correctly identify the generated data.