Adaptive blending units: Trainable activation functions for deep neural networks
LR Sütfeld, F Brieger, H Finger, S Füllhase… - … : Proceedings of the 2020 …, 2020 - Springer
The most widely used activation functions in current deep feed-forward neural networks are
rectified linear units (ReLU), and many alternatives have been successfully applied, as well …
rectified linear units (ReLU), and many alternatives have been successfully applied, as well …
Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks
LR Sütfeld, F Brieger, H Finger, S Füllhase… - arXiv preprint arXiv …, 2018 - arxiv.org
The most widely used activation functions in current deep feed-forward neural networks are
rectified linear units (ReLU), and many alternatives have been successfully applied, as well …
rectified linear units (ReLU), and many alternatives have been successfully applied, as well …
Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks
G Pipa - Springer
The most widely used activation functions in current deep feed-forward neural networks are
rectified linear units (ReLU), and many alternatives have been successfully applied, as well …
rectified linear units (ReLU), and many alternatives have been successfully applied, as well …
[PDF][PDF] ADAPTIVE BLENDING UNITS: TRAINABLE ACTIVA-TION FUNCTIONS FOR DEEP NEURAL NETWORKS
LR Sütfeld, F Brieger, H Finger, S Füllhase, G Pipa - researchgate.net
The most widely used activation functions in current deep feed-forward neural networks are
rectified linear units (ReLU), and many alternatives have been successfully applied, as well …
rectified linear units (ReLU), and many alternatives have been successfully applied, as well …
[引用][C] Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks
LR Sütfeld, F Brieger, H Finger… - arXiv …, 2018 - osnascholar.ub.uni-osnabrueck.de
Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks |
Hochschulbibliographie Universität Osnabrück Skip navigation Uni-Osnabrueck logo …
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[引用][C] Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks
LR Sütfeld, F Brieger, H Finger… - Advances in …, 2020 - osnascholar.ub.uni-osnabrueck.de
Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks |
Hochschulbibliographie Universität Osnabrück Skip navigation Uni-Osnabrueck logo …
Hochschulbibliographie Universität Osnabrück Skip navigation Uni-Osnabrueck logo …