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dc.contributor.author
Zhang, Hantian
dc.date.accessioned
2017-06-14T08:59:11Z
dc.date.available
2017-06-14T08:59:11Z
dc.date.issued
2017
dc.identifier.uri
http://hdl.handle.net/20.500.11850/156349
dc.identifier.doi
10.3929/ethz-a-010890124
dc.language.iso
en
dc.publisher
ETH-Zürich
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ)
dc.subject
NEURONALE NETZWERKE + KONNEKTIONISMUS (KÜNSTLICHE INTELLIGENZ)
dc.subject
COMPUTERVISION (KÜNSTLICHE INTELLIGENZ)
dc.subject
COMPUTERANWENDUNGEN IN DER ASTRONOMIE
dc.subject
MACHINE LEARNING (ARTIFICIAL INTELLIGENCE)
dc.subject
NEURAL NETWORKS + CONNECTIONISM (ARTIFICIAL INTELLIGENCE)
dc.subject
COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE)
dc.subject
COMPUTER APPLICATIONS IN ASTRONOMY
dc.title
The ZipML Framework for Training Models with End-to-End Low Precision
dc.type
Master Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2017
ethz.size
1 Online-Ressource
ethz.code.ddc
0 - Computer science, information & general works::004 - Data processing, computer science
ethz.code.ddc
5 - Science::520 - Astronomy, cartography
ethz.notes
Masterarbeit. ETH Zürich. 2017.
ethz.identifier.nebis
010890124
ethz.publication.place
Zürich
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02663 - Institut für Computing Platforms / Institute for Computing Platforms::09588 - Zhang, Ce / Zhang, Ce
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02663 - Institut für Computing Platforms / Institute for Computing Platforms::09588 - Zhang, Ce / Zhang, Ce
ethz.date.deposited
2017-06-14T09:04:15Z
ethz.source
ECOL
ethz.identifier.importid
imp59366bb15103b86267
ethz.ecolpid
eth:50863
ethz.eth
yes
ethz.availability
Open access
ethz.rosetta.installDate
2017-07-18T19:49:12Z
ethz.rosetta.lastUpdated
2018-11-05T10:08:59Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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