YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration
Open access
Date
2018-01Type
- Journal Article
Permanent link
https://doi.org/10.3929/ethz-b-000219268Publication status
publishedJournal / series
IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsVolume
Pages / Article No.
Publisher
IEEESubject
Convolutional neural network; Hardware accelerators; Binary weights; Internet of things; ASIC; Machine learning; Neural networksOrganisational unit
03996 - Benini, Luca
Funding
162524 - MicroLearn: Micropower Deep Learning (SNF)
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