Fujitsu AI, Tokyo U & RIKEN AIP Study Decomposes DNNs Into Modules That Can Be Recomposed Into New Models for Other Tasks
A research from the Fujitsu AI Laboratory, the University of Tokyo and the RIKEN Center for Advanced Intelligence Project proposes a modularization method that decomposes a DNN into small modules from a functionality perspective and recomposes them into new models appropriate for other tasks.