Artificial neural networks (ANNs) have remarkable capabilities when trained on natural data. Regardless of exact initialization, dataset, or training objective, neural networks trained on the same data domain tend to converge to similar patterns. For different image models, the initial layer weights typically converge to Gabor filters and color-contrast detectors, underlying a sort of "universal"…
