System for Serving Deep Neural Networks Efficiently
doctoral thesis by Haichen Shen, Computer Science & Engineering, University of Washington, 2019
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System for Serving Deep Neural Networks Efficiently
Summary
System for Serving Deep Neural Networks Efficiently is a doctoral thesis[1].
Key Facts
- System for Serving Deep Neural Networks Efficiently authored Haichen Shen[2].
- System for Serving Deep Neural Networks Efficiently's instance of is recorded as doctoral thesis[3].
- System for Serving Deep Neural Networks Efficiently's OCLC number is recorded as 1101197042[4].
- System for Serving Deep Neural Networks Efficiently's language of work or name is recorded as English[5].
- +2019-00-00T00:00:00Z marks the founding of System for Serving Deep Neural Networks Efficiently[6].
- System for Serving Deep Neural Networks Efficiently's work available at URL is recorded as http://hdl.handle.net/1773/43657[7].
- System for Serving Deep Neural Networks Efficiently's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+128'}[8].
- System for Serving Deep Neural Networks Efficiently's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+8'}[9].
- System for Serving Deep Neural Networks Efficiently's Handle ID is recorded as 1773/43657[10].
- System for Serving Deep Neural Networks Efficiently's title is recorded as System for Serving Deep Neural Networks Efficiently[11].
- System for Serving Deep Neural Networks Efficiently's thesis submitted to is recorded as University of Washington[12].
- System for Serving Deep Neural Networks Efficiently's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[13].
- System for Serving Deep Neural Networks Efficiently's thesis committee member is recorded as Arvind Krishnamurthy[14].
- System for Serving Deep Neural Networks Efficiently's thesis committee member is recorded as Matthai Philipose[15].
Body
Designation and Status
System for Serving Deep Neural Networks Efficiently's instance of is recorded as doctoral thesis[3].
History and Context
+2019-00-00T00:00:00Z marks the founding of System for Serving Deep Neural Networks Efficiently[6].