VS265: Slides Fall2012: Difference between revisions
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==== 24 Oct ==== | ==== 24 Oct ==== | ||
* [http://redwood.berkeley.edu/vs265/attractor-lecture.pdf Attractor neural networks] | * [http://redwood.berkeley.edu/vs265/attractor-lecture.pdf Attractor neural networks] | ||
==== 29 Oct ==== | |||
* [http://redwood.berkeley.edu/vs265/hillar-hopfieldmpf.pdf Little-Hopfield Memory Storage with Minimum Probability Flow] (Chris Hillar guest lecture) | |||
==== 5 Nov ==== | |||
* [http://redwood.berkeley.edu/vs265/prob-models-lecture.pdf Probabilistic/generative models] | |||
==== 19 Nov ==== | |||
* [http://redwood.berkeley.edu/vs265/boltzmann-machine.pdf Boltzmann machine] | |||
==== 21 Nov ==== | |||
* [http://redwood.berkeley.edu/vs265/sparse-coding2-slides.pdf Sparse Coding and 'ICA'] | |||
Latest revision as of 18:48, 28 August 2014
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5 Sept
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24 Sept - 1 Oct
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17 Oct - 22 Oct
24 Oct
29 Oct
- Little-Hopfield Memory Storage with Minimum Probability Flow (Chris Hillar guest lecture)
