arXiv · 1806.00149
q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators
Abstract
We propose a new generic type of stochastic neurons, called $q$-neurons, that considers activation functions based on Jackson's $q$-derivatives with stochastic parameters $q$. Our generalization of neural network architectures with $q$-neurons is shown to be both scalable and very easy to implement. We demonstrate experimentally consistently improved performances over state-of-the-art standard activation functions, both on training and testing loss functions.
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Frank Nielsen, Ke Sun. 2018-06-01. q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators. https://doi.org/10.1109/tnnls.2020.3005167
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