p-Adic Statistical Field Theory and Convolutional Deep Boltzmann Machines
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DOI: 10.1093/ptep/ptad061
Abstract: Understanding how deep learning architectures work is a central scientific problem. Recently, a correspondence between neural networks (NNs) and Euclidean quantum field theories (QFTs) has been proposed. This work investigates this correspondence in the framework… read more here.
Keywords: topology; deep boltzmann; statistical field; field theory ... See more keywords