Exploring Solvable Model Of Unsupervised Feature Learning
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- In just over 100 time steps, a two-layer convolutional neural network learns to recognize objects utilizing only local Hebbian ...
- Unsupervised Feature Learning
- This talk reviews recent work in the area of
- Bay Area Vision Meeting (more info below)
- Published at European Conference on Computer Vision, Zurich 2014.
In-Depth Information on Solvable Model Of Unsupervised Feature Learning
Lenka Zdeborova, CNRS and CEA Saclay Random Instances and Phase Transitions ... This Unsupervised Feature Graduate Summer School:
ICLR 2014 Workshop Talk: "
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