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Accelerating GAN training using highly parallel hardware on public cloud
<!--HTML-->With the increasing number of Machine and Deep Learning applications in High Energy Physics, easy access to dedicated infrastructure represents a requirement for fast and eficient R&D. This work explores different types of cloud services to train a Generative Adversarial Network...
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| Lenguaje: | eng |
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2021
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| Acceso en línea: | http://cds.cern.ch/record/2767302 |