Why Deep Learning?
Deep Learning (DL) is a subset of AI and machine learning that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy.
Researchers have more choices than ever for deep learning accelerators. This is further complicated by the increasing amount of frameworks used to develop DL models. With constrained budgets and so many choices, you want to make sure you make the right decision before you commit to spending your money.
This seminar will help you make better informed decisions on which DL accelerator technology will work best for you. And prepare for some surprises!
Presented by Lucas A. “Luke” Wilson, Ph.D. is the Artificial Intelligence Research lead in the HPC & AI Innovation Lab at Dell Technologies, where he focuses on scalable and high performance deep learning training and inference.
Q&A panel will also be held with Mass General Brigham participants.
- Lei Qin, Ph.D, Clinical MRI Physicist, Radiology DFCI
- Geoffrey Young S. M.D., BWPO Physician, BWH
Contact firstname.lastname@example.org with any questions or concerns.