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Neural Network Learning and Optimization (NNLO)
With deep neural networks becoming an essential tool for practitioners in academia, scaling them to accommodate the extensive amount of data without introducing a time trade-off is a constantly growing issue. Consequently, the ultimate goal of this project is to assist practitioners here at CERN to...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
2022
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2825242 |
_version_ | 1780973760130580480 |
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author | Atari, Mahmoud Shadi Veljanovic, Irena |
author_facet | Atari, Mahmoud Shadi Veljanovic, Irena |
author_sort | Atari, Mahmoud Shadi |
collection | CERN |
description | With deep neural networks becoming an essential tool for practitioners in academia, scaling them to accommodate the extensive amount of data without introducing a time trade-off is a constantly growing issue. Consequently, the ultimate goal of this project is to assist practitioners here at CERN to scale their deep learning projects. The project involves developing a library that offers abstract modules for users to distribute their training and make use of the available computing resources without needing to worry about the technical details in the background. |
id | cern-2825242 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2022 |
record_format | invenio |
spelling | cern-28252422022-08-24T20:18:13Zhttp://cds.cern.ch/record/2825242engAtari, Mahmoud ShadiVeljanovic, IrenaNeural Network Learning and Optimization (NNLO)Computing and ComputersWith deep neural networks becoming an essential tool for practitioners in academia, scaling them to accommodate the extensive amount of data without introducing a time trade-off is a constantly growing issue. Consequently, the ultimate goal of this project is to assist practitioners here at CERN to scale their deep learning projects. The project involves developing a library that offers abstract modules for users to distribute their training and make use of the available computing resources without needing to worry about the technical details in the background.CERN-STUDENTS-Note-2022-064oai:cds.cern.ch:28252422022-08-23 |
spellingShingle | Computing and Computers Atari, Mahmoud Shadi Veljanovic, Irena Neural Network Learning and Optimization (NNLO) |
title | Neural Network Learning and Optimization (NNLO) |
title_full | Neural Network Learning and Optimization (NNLO) |
title_fullStr | Neural Network Learning and Optimization (NNLO) |
title_full_unstemmed | Neural Network Learning and Optimization (NNLO) |
title_short | Neural Network Learning and Optimization (NNLO) |
title_sort | neural network learning and optimization (nnlo) |
topic | Computing and Computers |
url | http://cds.cern.ch/record/2825242 |
work_keys_str_mv | AT atarimahmoudshadi neuralnetworklearningandoptimizationnnlo AT veljanovicirena neuralnetworklearningandoptimizationnnlo |