UFLDL Tutorial

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


Spatial pyramids / Multiscale

Slow Feature Analysis

ICA Style Models:

Tiled Convolution Networks

Personal tools