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
publishedExternal links
Journal / 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 / Benini, Luca
Funding
162524 - MicroLearn: Micropower Deep Learning (SNF)
More
Show all metadata