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 minimising contrastive divergence

Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons

Neural Information Processing Systems

This paper presents VLSI circuits with continuous-valued proba- bilistic behaviour realized by injecting noise into each computing unit(neuron). Interconnecting the noisy neurons forms a Contin- uous Restricted Boltzmann Machine (CRBM), which has shown promising performance in modelling and classifying noisy biomed- ical data.

  minimising contrastive divergence, mixed-mode vlsi neuron, noisy, (1 more...)
  Industry: Semiconductors & Electronics (0.84)
  Technology: Information Technology > Artificial Intelligence > Machine Learning (1.00)

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Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons

Chen, Hsin, Fleury, Patrice, Murray, Alan F.

Neural Information Processing Systems

This paper presents VLSI circuits with continuous-valued probabilistic behaviour realized by injecting noise into each computing unit(neuron). Interconnecting the noisy neurons forms a Continuous Restricted Boltzmann Machine (CRBM), which has shown promising performance in modelling and classifying noisy biomedical data.

  Country:
  Industry: Semiconductors & Electronics (0.64)
  Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.35)

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Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons

Chen, Hsin, Fleury, Patrice, Murray, Alan F.

Neural Information Processing Systems

This paper presents VLSI circuits with continuous-valued probabilistic behaviour realized by injecting noise into each computing unit(neuron). Interconnecting the noisy neurons forms a Continuous Restricted Boltzmann Machine (CRBM), which has shown promising performance in modelling and classifying noisy biomedical data.

  Country:
  Industry: Semiconductors & Electronics (0.64)
  Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.35)

Add feedback

Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons

Chen, Hsin, Fleury, Patrice, Murray, Alan F.

Neural Information Processing Systems

VLSI implementation of the noisy neuron and the MOD learning rule are presented.

  Country:
  Industry: Semiconductors & Electronics (0.64)
  Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.95)

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