Listar por tema "deep neural networks"

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    • openAccess   BestOf: an online implementation selector for the training and inference of deep neural networks 

      Barrachina Mir, Sergio; Castelló, Adrián; Dolz, Manuel F.; Tomás, Andrés E. Springer (2022-05-20)
      Tuning and optimising the operations executed in deep learning frameworks is a fundamental task in accelerating the processing of deep neural networks (DNNs). However, this optimisation usually requires extensive manual ...

    • openAccess   PyDTNN: A user-friendly and extensible framework for distributed deep learning 

      Barrachina Mir, Sergio; Castelló, Adrián; Catalán Carbó, Mar; Dolz, Manuel F.; Mestre Miravet, Jose Ignacio Springer (2021-02-22)
      We introduce a framework for training deep neural networks on clusters of computers with the following appealing properties: (1) It is developed in Python, exposing an amiable interface that provides an accessible entry ...

    • closedAccess   Spatial point processes and neural networks: A convenient couple 

      Mateu, Jorge; Jalilian, Abdollah Elsevier (2022)
      Different spatial point process models and techniques have been developed in the past decades to facilitate the statistical analysis of spatial point patterns. However, in some cases the spatial point process methodology ...