VS265: Slides: Difference between revisions
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==== Nov 18 ==== | ==== Nov 18 ==== | ||
* Recurrent networks - | * Recurrent networks | ||
* * [http://redwood.berkeley.edu/vs265/Guy-Isely-neurocomputation-rnns.pdf Guy Isely slides] | |||
* * [http://redwood.berkeley.edu/vs265/Brian-Cheung-LSTMS.pdf Brian Cheung slides] | |||
* [https://archive.org/details/VS265-Fall14-Nov18 video] | * [https://archive.org/details/VS265-Fall14-Nov18 video] | ||
Revision as of 06:40, 1 December 2014
28 Aug
4 Sept
- Neuron models, membrane equation video
11 Sept
- Paul Rhodes guest lecture video
16 Sept
- Perceptron model video
18 Sept
- Supervised learning
- Neural Networks Followup video
23,25 Sept
Sep 30, Oct 2
Oct 7
Oct 9
Oct 14
Oct 16
Oct 21,23,28
- Sparse coding slides
- Oct23rd video
- Oct28th video
Oct 30, Nov. 4, 6
- Oct30 Video
- Nov4 Video
- Nov6 Video
- Nov 13 Video
- Self-organizing maps
- Manifold models
- (an aside on adaptation)
Nov 18
- Recurrent networks
- * Guy Isely slides
- * Brian Cheung slides
- video
Nov 20
Nov 25
- Boltzman Machine Video
- Boltzmann machine slides
