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"Pros and Cons of Executable Neural Networks for Deeply Embedded Systems."

Matheus Fellype Ferraz, Birte Kristina Friesel, Olaf Spinczyk (2023)

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DOI: 10.1145/3615338.3618118

access: closed

type: Conference or Workshop Paper

metadata version: 2024-06-18

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  dblp key:
  - conf/codai/FerrazFS23
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  - https://dblp.org/rec/conf/codai/FerrazFS23
Matheus Fellype Ferraz, Birte Kristina Friesel, Olaf Spinczyk:
Pros and Cons of Executable Neural Networks for Deeply Embedded Systems. CODAI 2023: 16-20

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