Browsing Faculty of Engineering by Subject "Machine Learning"

Now showing items 1-2 of 2

    • Benign interpolation of noise in deep learning 

      Davel, Marelie Hattingh; Barnard, Etienne; Theunissen, Marthinus Wilhelmus (South African Institute of Computer Scientists and Information Technologists, 2020)
      The understanding of generalisation in machine learning is in a state of flux, in part due to the ability of deep learning models to interpolate noisy training data and still perform appropriately on out-of-sample data, ...

    • Using summary layers to probe neural network behaviour 

      Davel, Marelie Hattingh (South African Institute of Computer Scientists and Information Technologists, 2020)
      No framework exists that can explain and predict the generalisation ability of deep neural networks in general circumstances. In fact, this question has not been answered for some of the least complicated of neural network ...