Fujitsu AI, Tokyo U & RIKEN AIP Study Decomposes DNNs Into Modules That Can Be Recomposed Into New Models for Other Tasks | Synced
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 f...
Source: Synced | AI Technology & Industry Review
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.