articleTop 1% cited
Activation functions in deep learning: A comprehensive survey and benchmark
Neurocomputing · 2022 · Vol. 503 · pp. 92–108
Shiv Ram Dubey✉(Indian Institute of Information Technology Allahabad)Satish Kumar Singh(Indian Institute of Information Technology Allahabad)B.B. Chaudhuri(Techno India University)
Currency Recognition and DetectionAdvanced Neural Network ApplicationsMachine Learning and ELMSigmoid functionBenchmark (surveying)Artificial neural networkComputer scienceSeparable spaceSmoothnessActivation functionRange (aeronautics)Artificial intelligenceHyperbolic function
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References
Gradient-based learning applied to document recognition
Proceedings of the IEEE · 1998 · 57,014 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
Error bounds for approximations with deep ReLU networks
Neural Networks · 2017 · 1,059 citations
Impact of fully connected layers on performance of convolutional neural networks for image classification
Neurocomputing · 2019 · 546 citations
Deep learning
Nature · 2015 · 79,164 citations
Sigmoid-weighted linear units for neural network function approximation in reinforcement learning
Neural Networks · 2018 · 1,814 citations
The Influence of the Activation Function in a Convolution Neural Network Model of Facial Expression Recognition
Applied Sciences · 2020 · 314 citations
Review the state-of-the-art technologies of semantic segmentation based on deep learning
Neurocomputing · 2022 · 596 citations
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