Trainees will combine data pipeline and parallel training from previous sessions to train a modern classification network on a supercomputer.
About the Speakers
Sam Foreman is a computational scientist with a background in high energy physics, currently working as a postdoc in the ALCF. He is generally interested in the application of machine learning to computational problems in physics, particularly within the context of high-performance computing. Sam's current research focuses on using deep generative modeling to help build better sampling algorithms for simulations in lattice gauge theory.