UFLDL Tutorial

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* [[Sparse Autoencoder Notation Summary]]  
* [[Sparse Autoencoder Notation Summary]]  
* [[Exercise:Sparse_Autoencoder]]
* [[Exercise:Sparse_Autoencoder]]
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Vectorized implementation
Vectorized implementation
* [[Vectorization]]
* [[Vectorization]]
* [[Logistic Regression Vectorization Example]]
* [[Logistic Regression Vectorization Example]]
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* [[Neural Network Vectorization]]
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* [[Exercise:Vectorization]]
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Whitening
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Unsupervised Feature Learning and Self-Taught Learning
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Fine-tuning
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- Exercise: Experiment with and without pre-training
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Stacked Autoencoders
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Fine-tuning Stacked AEs
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Convolutional models (1 layer)
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Pooling
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Multiple layers of convolution and pooling
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'''Advanced Topics''':
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RBM
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DBN
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Sparse Coding
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K-means
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Spatial pyramids??
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SFA
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ICA/TICA/TCNN

Revision as of 02:07, 27 February 2011

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