Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks

DC ElementWertSprache
dc.contributor.authorSütfeld, Leon René
dc.contributor.authorBrieger, Flemming
dc.contributor.authorFinger, Holger
dc.contributor.authorFüllhase, Sonja
dc.contributor.authorPipa, Gordon
dc.date.accessioned2022-04-19T14:02:50Z-
dc.date.available2022-04-19T14:02:50Z-
dc.date.issued2018
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/51709-
dc.relation.ispartofarXiv: Learning
dc.subjectComputer science
dc.subjectDeep learning
dc.subjectDeep neural networks
dc.subjectRecurrent neural network
dc.subjectTime delay neural network
dc.subjectArtificial neural network
dc.subjectArtificial intelligence
dc.titleAdaptive Blending Units: Trainable Activation Functions for Deep Neural Networks
dc.typejournal article
dc.identifier.urlhttps://arxiv.org/abs/1806.10064
dc.identifier.externalhttps://openalex.org/W2885304260
dcterms.oaStatustrue
local.import.sourcefileopenalex_uos_20220409.ris
crisitem.author.deptInstitut für Kognitionswissenschaft-
crisitem.author.deptidinstitute28-
crisitem.author.orcid0000-0002-3416-2652-
crisitem.author.parentorgFB 08 - Humanwissenschaften-
crisitem.author.grandparentorgUniversität Osnabrück-
crisitem.author.netidPiGo340-
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