UFLDL Tutorial

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[[Deep Belief Networks]]
[[Deep Belief Networks]]
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[[Denoising Autoencoders]]
[[Sparse Coding]]
[[Sparse Coding]]

Revision as of 01:31, 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

Denoising Autoencoders

Sparse Coding

K-means

Spatial pyramids / Multiscale

Slow Feature Analysis

ICA Style Models:


Tiled Convolution Networks

Personal tools