Cargando…
Deep Learning workflows: examples from High Energy Physics
<!--HTML-->Thanks to a diversified program of collaborations with leading ICT companies and other research organisations, CERN openlab promotes research on innovative solutions and knowledge sharing between communities. In particular, it is involved in a large set of Deep Learning and AI proje...
Autores principales: | Vallecorsa, Sofia, Carminati, Federico |
---|---|
Lenguaje: | eng |
Publicado: |
2019
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2692151 |
Ejemplares similares
-
Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel FPGA
por: Vallecorsa, Sofia
Publicado: (2019) -
Deploying AI Frameworks on Secure HPC Systems with Containers
por: Vallecorsa, Sofia
Publicado: (2019) -
Exploiting persistent memory for workflows and computational simulation
por: Jackson, Adrian
Publicado: (2019) -
Distributed Training of Generative Adversarial Networks for Fast Simulation
por: Vallecorsa, Sofia, et al.
Publicado: (2019) -
Deep Learning for satellite imagery
por: Boget, Yoann
Publicado: (2019)