Metamodel specialization based DSL for DL lifecycle data management

Autor: Edgars Celms, Audris Kalnins, Arturs Sprogis, Mikus Grasmanis, Sergejs Rikacovs, Paulis Barzdins, Janis Barzdins
Rok vydání: 2020
Předmět:
Zdroj: MODELS Companion
DOI: 10.1145/3417990.3420050
Popis: A new Domain Specific Language (DSL) based approach to Deep Learning (DL) lifecycle data management (LDM) is presented: a very simple but universal DL LDM tool, still usable in practice (called Core tool); and an advanced extension mechanism, that converts the Core tool into a DSL tool building framework for DL LDM tasks. The method used is based on the metamodel specialisation approach for DSL modeling tools introduced by authors.
Databáze: OpenAIRE