|Date:||2019, July 2|
|Title:||Modelling Identity Rules with Neural Networks|
With the growing influence of deep learning approaches in modern
applications, artificial neural networks have been brought back to the
public attention. Whilst they have been designed to match the physical
make-up natural neural networks, they struggle with basic abstraction
In this talk we will present the results of Weyde et al., that analyse the ability of artificial neural networks to learn abstract patterns, more specifically, their ability to recognise the pattern ABA in three letter words.