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.
Neural Information Processing Systems
Dec-31-2004