Deep Learning for Heritage Visualisation
Deep Learning can be employed in a variety of cultural heritage visualisation and reconstruction tasks. It is part of a family of machine learning approaches based upon the idea of ‘learning’ data representations through kernel-based algorithms that encode high dimensional abstractions in ‘deep’ or embedded artificial neural networks (ANNs). There...