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ALReLU: A different approach on Leaky ReLU activation function to
  improve Neural Networks Performance
v1v2 (latest)

ALReLU: A different approach on Leaky ReLU activation function to improve Neural Networks Performance

11 December 2020
S. Mastromichalakis
ArXiv (abs)PDFHTML

Papers citing "ALReLU: A different approach on Leaky ReLU activation function to improve Neural Networks Performance"

6 / 6 papers shown
Pioneering Precision in Lumbar Spine MRI Segmentation with Advanced Deep
  Learning and Data Enhancement
Pioneering Precision in Lumbar Spine MRI Segmentation with Advanced Deep Learning and Data EnhancementMachine Learning with Applications (MLWA), 2024
Istiak Ahmed
Md. Tanzim Hossain
Md. Zahirul Islam Nahid
Kazi Shahriar Sanjid
Md. Shakib Shahariar Junayed
M. M. Uddin
Mohammad Monirujjaman Khan
215
2
0
09 Sep 2024
RepAct: The Re-parameterizable Adaptive Activation Function
RepAct: The Re-parameterizable Adaptive Activation Function
Xian Wu
Qingchuan Tao
Shuang Wang
354
0
0
28 Jun 2024
Deep Multi-Task Learning for Malware Image Classification
Deep Multi-Task Learning for Malware Image ClassificationJournal of Information Security and Applications (JISA), 2022
A. Bensaoud
Jugal Kalita
248
40
0
09 May 2024
Homotopy Relaxation Training Algorithms for Infinite-Width Two-Layer
  ReLU Neural Networks
Homotopy Relaxation Training Algorithms for Infinite-Width Two-Layer ReLU Neural NetworksJournal of Scientific Computing (J. Sci. Comput.), 2023
Yahong Yang
Qipin Chen
Wenrui Hao
343
7
0
26 Sep 2023
Estimating fire Duration using regression methods
Estimating fire Duration using regression methods
Hansong Xiao
137
1
0
17 Aug 2023
Parametric Leaky Tanh: A New Hybrid Activation Function for Deep
  Learning
Parametric Leaky Tanh: A New Hybrid Activation Function for Deep Learning
S. Mastromichalakis
78
1
0
11 Aug 2023
1
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