VS265: Slides Fall2010: Difference between revisions
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* '''Oct 26/28 - Probabilistic/generative models''' | * '''Oct 26/28 - Probabilistic/generative models''' | ||
**[http://redwood.berkeley.edu/vs265/prob-models.pdf slides] | **[http://redwood.berkeley.edu/vs265/prob-models-lecture.pdf slides] | ||
Revision as of 06:00, 29 October 2010
- Aug 26 - Introduction
- Aug 31 - Intro (cont'd) + neuron models
- Sep 7 - Supervised learning in single-layer and multilayer networks
- Sep 21 - Supervised learning - continued
- Sep 21/23 - Unsupervised learning: Hebbian learning and PCA
- Sep 28/30 - Sparse distributed representation
- Oct 5 - Self-organizing maps
- Oct 12/14 - Attractor neural networks
- Oct 19 - Recurrent networks and dynamical systems - (David Zipser)
- Oct 21 - Associative memory models (Fritz Sommer)
- Oct 26/28 - Probabilistic/generative models
