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CSC2535: Computation in Neural Networks Lecture 5: Free Energy and Variational Methods

CSC2535: Computation in Neural Networks Lecture 5: Free Energy and Variational Methods. Geoffrey Hinton. An apparently crazy idea. Its hard to learn complicated models like Sigmoid Belief Nets because its hard to infer (or sample from) the posterior distribution over hidden configurations.

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494 views • 49 slides

Geoffrey Hinton

CSC2535: 2013 Advanced Machine Learning Lecture 2b: Variational Inference and Learning in Directed Graphical Models. Geoffrey Hinton. An apparently crazy idea.

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611 views • 47 slides

CSC321: Neural Networks Lecture 12: Clustering

CSC321: Neural Networks Lecture 12: Clustering. Geoffrey Hinton. Clustering. We assume that the data was generated from a number of different classes. The aim is to cluster data from the same class together. How do we decide the number of classes?

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358 views • 21 slides

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CSC2535: Computation in Neural Networks Lecture 5: Free Energy and Variational Methods

Geoffrey Hinton

CSC321: Neural Networks Lecture 12: Clustering