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210123 ||| eng |
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|a QA76.9.C55
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|a Quintero, Dino
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|a IBM PowerAI
|b deep learning unleashed on IBM Power Systems Servers
|c Dino Quintero [and six others]
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1 |
|a Deep learning unleashed on IBM Power Systems Servers
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246 |
3 |
1 |
|a International Business Machines Power Artificial Intelligence
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250 |
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|a First edition
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260 |
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|a Poughkeepsie, NY
|b IBM Corporation, International Technical Support Organization
|c 2018
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300 |
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|a 1 volume
|b illustrations
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505 |
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|a Includes bibliographical references
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653 |
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|a Client/server computing / fast
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653 |
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|a Artificial intelligence / Data processing / http://id.loc.gov/authorities/subjects/sh85008182
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653 |
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|a Machine learning / http://id.loc.gov/authorities/subjects/sh85079324
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653 |
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|a Business enterprises / Computer networks / Management / fast
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653 |
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|a Architecture client-serveur (Informatique)
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653 |
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|a Artificial intelligence / Data processing / fast
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653 |
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|a Intelligence artificielle / Informatique
|
653 |
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|a Machine learning / fast
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653 |
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|a Business enterprises / Computer networks / Management
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653 |
|
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|a Apprentissage automatique
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653 |
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|a Client/server computing / http://id.loc.gov/authorities/subjects/sh93000502
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653 |
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|a Entreprises / Réseaux d'ordinateurs / Gestion
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041 |
0 |
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|a eng
|2 ISO 639-2
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989 |
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|b OREILLY
|a O'Reilly
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490 |
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|a IBM Redbooks
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500 |
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|a Number on back cover: SF24-8409-00
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856 |
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|u https://learning.oreilly.com/library/view/~/9780738442945/?ar
|x Verlag
|3 Volltext
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|a 331
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|a 658
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|a 004.6/54
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|a 338
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|a 330
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|a While targeting technical readers, this IBM Redbooks publication is for anyone looking to understand the IBM PowerAI Deep Learning architecture, framework configuration, application and workload configuration, and user infrastructure. --
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