The Gap between Theory and Practice in Function Approximation with Deep Neural Networks
Ben Adcock, Nick Dexter
Abstract
Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 17 January 2020Accepted: 11 January 2021Published online: 06 May 2021Keywordsneural networks, deep learning, function approximation, compressed sensing, numerical analysisAMS Subject Headings41A25, 41A46, 42C05, 65D05, 65D15, 65Y20, 94A20Publication DataISSN (online): 2577-0187Publisher: Society for Industrial and Applied MathematicsCODEN: sjmdaq
Topics & Concepts
Artificial neural networkFunction (biology)Deep learningSubject (documents)Artificial intelligenceComputer scienceDeep neural networksSubject matterFunction approximationData scienceMachine learningLibrary sciencePolitical scienceLawCurriculumEvolutionary biologyBiologyModel Reduction and Neural NetworksProbabilistic and Robust Engineering DesignNeural Networks and Applications