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| ==== 27 Aug ==== | | ==== 28 Aug ==== |
| * [http://redwood.berkeley.edu/vs265/intro-lecture.pdf Introduction] | | * [http://redwood.berkeley.edu/vs265/intro-lecture.pdf Introduction] |
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| ==== 29 Aug ====
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| * [http://redwood.berkeley.edu/vs265/intro-lecture2.pdf Introduction continued]
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| ==== 5 Sept ====
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| * [http://redwood.berkeley.edu/vs265/synapses.pdf Synapses, brains and machines]
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| ==== 17/19 Sept ====
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| * [http://redwood.berkeley.edu/vs265/superlearn.pdf Supervised learning]
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| ==== 24 Sept - 1 Oct ====
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| * [http://redwood.berkeley.edu/vs265/hebb-PCA-lecture.pdf Unsupervised learning]
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| ==== 8 Oct - 15 Oct ====
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| * [http://redwood.berkeley.edu/vs265/sparse-coding-slides.pdf Sparse distributed representation]
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| ==== 17 Oct - 22 Oct ====
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| * [http://redwood.berkeley.edu/vs265/som-lecture.pdf Self-organizing maps]
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| * [http://redwood.berkeley.edu/vs265/manifold-models-lecture.pdf Manifold models]
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| * [http://redwood.berkeley.edu/vs265/adaptation-lecture.pdf (an aside on adaptation)]
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| ==== 24 Oct ====
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| * [http://redwood.berkeley.edu/vs265/attractor-lecture.pdf Attractor neural networks]
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| ==== 29 Oct ====
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| * [http://redwood.berkeley.edu/vs265/hillar-hopfieldmpf.pdf Little-Hopfield Memory Storage with Minimum Probability Flow] (Chris Hillar guest lecture)
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| ==== 5 Nov ====
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| * [http://redwood.berkeley.edu/vs265/prob-models-lecture.pdf Probabilistic/generative models]
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| ==== 19 Nov ====
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| * [http://redwood.berkeley.edu/vs265/boltzmann-machine.pdf Boltzmann machine]
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| ==== 21 Nov ====
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| * [http://redwood.berkeley.edu/vs265/sparse-coding2-slides.pdf Sparse Coding and 'ICA']
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