"An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural ..."

Michael J. Klaiber et al. (2019)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-02-22

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1910-11632
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1910-11632
Michael J. Klaiber, Sebastian Vogel, Axel Acosta, Robert Korn, Leonardo Ecco, Kristine Back, Andre Guntoro, Ingo Feldner:
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models. CoRR abs/1910.11632 (2019)

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