• Mixture density networks for distribution and uncertainty estimation 

      Brando Guillaumes, Axel (Universitat Politècnica de Catalunya, 2017-02-01)
      Projecte Final de Màster Oficial
      Accés obert
      Realitzat a/amb:   Universitat de Barcelona
      The deep learning techniques have made neural networks the leading option for solving some computational problems and it has been shown the production of the state-of-the-art results in many fields like computer vision, ...
    • On explainability of deep neural networks 

      Parafita Martínez, Álvaro (Universitat Politècnica de Catalunya, 2018-06-15)
      Projecte Final de Màster Oficial
      Accés obert
      Deep Learning has attained state-of-the-art performance in the recent years, but it is still hard to determine the reasoning behind each prediction. This project will cover the latest advances on interpretability and propose ...