Rethinking arithmetic for deep neural networks

DOI10.1098/rsta.2019.0051zbMath1462.68168arXiv1905.02438OpenAlexW2999134573WikidataQ92754316 ScholiaQ92754316MaRDI QIDQ4993501

George A. Constantinides

Publication date: 15 June 2021

Published in: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1905.02438

zbMATH Keywords

artificial intelligencecomputational mathematicsacceleratorapplied mathematicscomputingdeep neural networkfield-programmable gate array

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Graph theory (including graph drawing) in computer science (68R10) Mathematical problems of computer architecture (68M07) Networks and circuits as models of computation; circuit complexity (68Q06)

Cites Work

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