A-DSCNN: Depthwise Separable Convolutional Neural Network Inference Chip Design Using an Approximate Multiplier
| datacite.relatedItem.firstPage | 159 | |
| datacite.relatedItem.issue | 3 | |
| datacite.relatedItem.relatedIdentifierType | ISSN | |
| datacite.relatedItem.relatedItemIdentifier | 2674-0729 | |
| datacite.relatedItem.relationType | IsPublishedIn | |
| datacite.relatedItem.title | Chips | |
| datacite.relatedItem.volume | 2 | |
| dc.contributor.author | Jin-Jia Shang | |
| dc.contributor.author | Nicholas Phipps | |
| dc.contributor.author | I-Chyn Wey | |
| dc.contributor.author | Tee Hui Teo | |
| dc.date.accessioned | 2024-03-28T11:01:26Z | |
| dc.date.available | 2024-03-28T11:01:26Z | |
| dc.date.issued | 2023 | |
| dc.identifier.doi | https://doi.org/10.3390/chips2030010 | |
| dc.identifier.other | jz000028-0011 | |
| dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/1648 | |
| dc.publisher | MDPI AG | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 621.3 | |
| dc.title | A-DSCNN: Depthwise Separable Convolutional Neural Network Inference Chip Design Using an Approximate Multiplier | |
| dcat.distribution.pdf | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/1649 | |
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