Generative Deep Learning. 3 credits

Catalog description

This course focuses on the theory and applications of generative models in Machine Learning. A generative model describes how a dataset is generated in probabilistic terms, allowing the generation of new data. Generative models are receiving a lot of attention in both the research and industrial community, with new applications surfacing continuously. This course covers the theoretical aspects behind the Deep Learning models utilized to generate data, plus their practical applications. Offered by Computer Science . May not be repeated for credit.