Now showing items 1-3 of 3

    • Activation functions in deep neural networks 

      Pretorius, A.M. (North-West University (South Africa), 2020)
      The ability of machine learning algorithms to generalize is arguably their most important aspect as it determines their ability to perform appropriately on unseen data. The impres-sive generalization abilities of deep ...
    • A comparison of generalization techniques on supervised chess evaluation functions 

      Swart, W.P. (North-West University (South Africa), 2021)
      This dissertation was created in pursuit of comparing different deep neural network general-ization techniques on neural networks that were trained by supervised optimisation to be used as chess evaluation functions. ...
    • Generalization in deep learning : bilateral synergies in MLP learning 

      Theunissen, Marthinus Wilhelmus (North-West University (South Africa)., 2021)
      We present an investigation of how simple artificial neural networks (specifcally, feed-forward networks with full connections between each successive pair of layers) generalize to out-of-sample data. By emphasizing the ...