What kind of graphical model is the brain
Citation Type. Has PDF. Publication Type. More Filters. View 1 excerpt, cites background. A hybrid architecture is presented capable of online learning from both labeled and unlabeled samples.
It combines both generative and discriminative objectives to derive a new variant of the Deep … Expand. Deep belief network DBN is a hierarchical model for learning feature representations from unlabeled data.
However, there are no interconnections among the neural units in the same layer and the … Expand. A review of deep learning with special emphasis on architectures, applications and recent trends. Enhancing performance of restricted Boltzmann machines via log-sum regularization.
Neuronal integration of dynamic sources: Bayesian learning and Bayesian inference. Harnessing noisy Web images for deep representation. We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual.
Individuals are then recognized by … Expand. View 1 excerpt, references methods. View 1 excerpt, references background. Learning representations by back-propagating errors. View 2 excerpts, references background and methods. Fields of Experts: a framework for learning image priors.
If neurons are treated as latent variables, our visual systems are non-linear, densely-connected graphical models containing billions of variables and thousands of billions of parameters. Current algorithms would have difficulty learning a graphical model of this scale.
Starting with an algorithm that has difficulty learning more than a few thousand parameters, I describe a series of progressively better learning algorithms all of which are designed to run on neuron-like hardware. The latest member of this series can learn deep, multi-layer belief nets quite rapidly.
It turns a generic network with three hidden layers and 1. After learning, the model gives classification performance that is comparable to the best discriminative methods. Documents: Advanced Search Include Citations.
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