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Found 2 papers, 2 papers with code
Deep neural network based on F-neurons and its learning
Deep neural networks often employ piece-wise activation functions like ReLU to overcome the effects of exploding and vanishing gradients.
Adaptive hybrid activation function for deep neural networks
The proposed function can be used as a drop-in replacement for ReLU, SiL and Swish activations for deep neural networks and can evolve to one of such functions during the training.
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