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APALU: A Trainable, Adaptive Activation Function for Deep Learning
  Networks

APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks

13 February 2024
B. Subramanian
Rathinaraja Jeyaraj
Akhrorjon Akhmadjon Ugli Rakhmonov
Jeonghong Kim
    ODL
    AAML
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Papers citing "APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks"

2 / 2 papers shown
Title
Zorro: A Flexible and Differentiable Parametric Family of Activation
  Functions That Extends ReLU and GELU
Zorro: A Flexible and Differentiable Parametric Family of Activation Functions That Extends ReLU and GELU
Matias Roodschild
Jorge Gotay-Sardiñas
V. Jimenez
A. Will
25
0
0
28 Sep 2024
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,572
0
17 Apr 2017
1