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pro vyhledávání: '"Yassine Berradi"'
Autor:
Yassine Berradi, Abdelaziz Bouroumi
Publikováno v:
Contemporary Engineering Sciences. 10:145-155
Autor:
Yassine Berradi
Publikováno v:
LOPAL
Common nonlinear activation functions with large saturation regions, like Sigmoid and Tanh, used for Deep Neural Networks (DNNs) can not guarantee useful and efficient training since they suffer from vanishing gradients problem. Rectified Linear Unit