UFLDL Tutorial
From Ufldl
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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]] | ||
+ | * [[Neural Network Vectorization]] | ||
+ | * [[Exercise:Vectorization]] | ||
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+ | Whitening | ||
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+ | Unsupervised Feature Learning and Self-Taught Learning | ||
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+ | Fine-tuning | ||
+ | - 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 |