UFLDL Tutorial

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Working with Large Images
Working with Large Images
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* Feature extraction using convolution
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* [[Feature extraction using convolution]]
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* Pooling
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* [[Pooling]]
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* Multiple layers of convolution and pooling
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* [[Multiple layers of convolution and pooling]]
'''Advanced Topics''':
'''Advanced Topics''':

Revision as of 00:57, 19 April 2011

Sparse Autoencoder


Vectorized implementation


Preprocessing: PCA and Whitening


Softmax Regression


Self-Taught Learning and Unsupervised Feature Learning


Building Deep Networks for Classification


Working with Large Images

Advanced Topics:

Restricted Boltzmann Machines

Deep Belief Networks

Sparse Coding

K-means

Spatial pyramids / Multiscale

Slow Feature Analysis

ICA Style Models:


Tiled Convolution Networks

Personal tools