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- W2606955216 abstract "In this paper, we explore the periodic function as alternative activation function for neural network. Previously sigmoid function is used as standard activation function for neuron and now linear rectifier function are used. Even max-out function can be learned as a general form convex activation function. We explore the possibility in the other direction, where we use periodic function as activation function. We expect network with less layer and less neuron can capture the target distribution. The experiments verify our expectation and show that period function can act as an alternative activation function." @default.
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- W2606955216 date "2017-04-19" @default.
- W2606955216 modified "2023-10-18" @default.
- W2606955216 title "Periodic Function as Activation Function for Neural Networks" @default.
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- W2606955216 doi "https://doi.org/10.12783/dtcse/aita2016/7565" @default.
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