Neural networks are unified into a Distributed Parameter neural Network (DiPaNet) by taking continuum limits of width and depth and relating finite and infinite architectures via homogenization and discretization.
(eds.) (2014).Neural Fields: Theory and Applications
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A Unified Representation of Neural Networks Architectures
Neural networks are unified into a Distributed Parameter neural Network (DiPaNet) by taking continuum limits of width and depth and relating finite and infinite architectures via homogenization and discretization.