Video: Deep Learning for resource-constrained systems
by Rich Brueckner from High-Performance Computing News Analysis | insideHPC on (#4TYFR)
Amos Storkey from the University of Edinburgh gave this talk at HiPEAC CSW Edinburgh. "Storkey explores the demands of getting deep learning software to work on embedded devices, with challenges including real-time requirements, memory availabilit and the energy budget. He discusses work undertaken within the context of the European Union-funded Bonseyes project."
The post Video: Deep Learning for resource-constrained systems appeared first on insideHPC.