Generating Text from R.U.R. with Recurrent Neural Netwoks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F19%3A00053473" target="_blank" >RIV/61384399:31140/19:00053473 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070906788&partnerID=40&md5=b201597177b65c1d8c431eb961210f8" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070906788&partnerID=40&md5=b201597177b65c1d8c431eb961210f8</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Generating Text from R.U.R. with Recurrent Neural Netwoks
Original language description
Main topics of the document: neural networks; LSTM; generating text; recurrent neural networks; sequence models
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Aplimat 2019
ISBN
978-80-227-4884-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
628-633
Publisher name
Publishing house SPEKTRUM STU
Place of publication
Bratislava
Event location
Bratislava
Event date
Feb 5, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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