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Artificial neural networks are inherently high-dimensional, which limits our ability to visualise and understand their inner workings. Neural network architecture and training algorithm parameters are usually optimised on an ad hoc basis, with very limited insight into the nature of the objective function landscape. This study proposes using fitness landscape analysis to quantify topological properties...