Auto-Rotating Perceptrons

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  • DOI 10.52591/lxai2019120826
  • OpenAlex ID W2977982891
  • Type Conference-paper
  • Language EN
  • Published 08 Dec 2019
  • Source LatinX in AI at Neural Information Proce…
  • FWCI 0.10
  • Countries 1
  • Institutions 1
  • Added 10 Oct 2025
  • Updated 16 Oct 2026
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Auto-Rotating Perceptrons

Conference-paper 2019 EN Bronze

This paper proposes an improved design of the perceptron unit to mitigate the vanishing gradient problem. This nuisance appears when training deep multilayer perceptron networks with bounded activation functions. The new neuron design, named auto-rotating perceptron (ARP), has a mechanism to ensure that the node always operates in the dynamic region of the activation function, by avoiding saturati…

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1 Daniel Saromo Pontificia Universidad Católic… (PE)
2 Elizabeth Villota Pontificia Universidad Católic… (PE)
3 Edwin Villanueva Pontificia Universidad Católic… (PE)
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