A-DSCNN: Depthwise Separable Convolutional Neural Network Inference Chip Design Using an Approximate Multiplier

Simple item page
dc.contributor.authorJin-Jia Shang
dc.contributor.authorNicholas Phipps
dc.contributor.authorI-Chyn Wey
dc.contributor.authorTee Hui Teo
dc.date.accessioned2024-03-28T11:01:26Z
dc.date.available2024-03-28T11:01:26Z
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/1649
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleA-DSCNN: Depthwise Separable Convolutional Neural Network Inference Chip Design Using an Approximate Multiplier
dc.typepdf
dspace.entity.typeDistribution
relation.isDatasetOfDistributionf0f69667-974c-4809-b560-96a233f0086d
relation.isDatasetOfDistribution.latestForDiscoveryf0f69667-974c-4809-b560-96a233f0086d

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
chips-02-03-00010.pdf
Size:
4.12 MB
Format:
Adobe Portable Document Format
Download

Collections

2023