Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks
DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | Sütfeld, Leon René | |
dc.contributor.author | Brieger, Flemming | |
dc.contributor.author | Finger, Holger | |
dc.contributor.author | Füllhase, Sonja | |
dc.contributor.author | Pipa, Gordon | |
dc.date.accessioned | 2022-04-19T14:07:38Z | - |
dc.date.available | 2022-04-19T14:07:38Z | - |
dc.date.issued | 2020 | |
dc.identifier.issn | 2194-5365 | |
dc.identifier.uri | https://osnascholar.ub.uni-osnabrueck.de/handle/unios/55001 | - |
dc.publisher | Springer, Cham | |
dc.relation.ispartof | Advances in intelligent systems and computing | |
dc.subject | Computer science | |
dc.subject | Deep learning | |
dc.subject | Deep neural networks | |
dc.subject | Recurrent neural network | |
dc.subject | Activation function | |
dc.subject | Convolutional neural network | |
dc.subject | Time delay neural network | |
dc.subject | Pattern recognition (psychology) | |
dc.subject | Artificial neural network | |
dc.subject | Artificial intelligence | |
dc.title | Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks | |
dc.type | book part | |
dc.identifier.doi | https://doi.org/10.1007/978-3-030-52243-8_4 | |
dc.description.startpage | 37 | |
dc.description.endpage | 50 | |
dc.identifier.external | https://openalex.org/W3042896572 | |
dcterms.oaStatus | true | |
local.import.sourcefile | openalex_uos_20220409.ris | |
crisitem.author.dept | Institut für Kognitionswissenschaft | - |
crisitem.author.deptid | institute28 | - |
crisitem.author.orcid | 0000-0002-3416-2652 | - |
crisitem.author.parentorg | FB 08 - Humanwissenschaften | - |
crisitem.author.grandparentorg | Universität Osnabrück | - |
crisitem.author.netid | PiGo340 | - |
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geprüft am 16.05.2024