The ZipML Framework for Training Models with End-to-End Low Precision
Open in viewer
Open access
Date
2017Type
- Master Thesis
ETH Bibliography
yes
Altmetrics
Open in viewer
Permanent link
https://doi.org/10.3929/ethz-a-010890124Publication status
publishedExternal links
Search via SFX
Publisher
ETH-ZürichSubject
MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); NEURONALE NETZWERKE + KONNEKTIONISMUS (KÜNSTLICHE INTELLIGENZ); COMPUTERVISION (KÜNSTLICHE INTELLIGENZ); COMPUTERANWENDUNGEN IN DER ASTRONOMIE; MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); NEURAL NETWORKS + CONNECTIONISM (ARTIFICIAL INTELLIGENCE); COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE); COMPUTER APPLICATIONS IN ASTRONOMYOrganisational unit
02150 - Dep. Informatik / Dep. of Computer Science09588 - Zhang, Ce / Zhang, Ce
Notes
Masterarbeit. ETH Zürich. 2017.More
Show all metadata
ETH Bibliography
yes
Altmetrics