Cargando…
Deep Learning for disaster relief: generating synthetic high resolution images
Autor principal: | Thapa, Surendrabikram |
---|---|
Lenguaje: | eng |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2737245 |
Ejemplares similares
-
Heterogeneous computing for Deep Learning: deploying generative models via Intel OneAPI
por: Donayre, Silke
Publicado: (2020) -
Disaster Relief using Satellite Imagery
por: Abu Bakr, Muhammad
Publicado: (2017) -
Deep learning for 40 MHz scouting with Level-1 trigger muons for CMS at LHC run-3
por: Popa, Maria
Publicado: (2020) -
Estimating Support Size of Generative models for High Energy Physics
por: Jaruskova, Kristina
Publicado: (2020) -
Welcome and introduction
por: CERN. Geneva
Publicado: (2020)