UFLDL Tutorial
From Ufldl
(Boldfaced the topic headings.) |
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sections II, III, IV (up to Logistic Regression) first. | sections II, III, IV (up to Logistic Regression) first. | ||
- | Sparse Autoencoder | + | |
+ | '''Sparse Autoencoder''' | ||
* [[Neural Networks]] | * [[Neural Networks]] | ||
* [[Backpropagation Algorithm]] | * [[Backpropagation Algorithm]] | ||
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'''Note''': The sections above this line are stable. The sections below are still under construction, and may change without notice. Feel free to browse around however, and feedback/suggestions are welcome. | '''Note''': The sections above this line are stable. The sections below are still under construction, and may change without notice. Feel free to browse around however, and feedback/suggestions are welcome. | ||
- | Vectorized implementation | + | '''Vectorized implementation''' |
* [[Vectorization]] | * [[Vectorization]] | ||
* [[Logistic Regression Vectorization Example]] | * [[Logistic Regression Vectorization Example]] | ||
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- | Preprocessing: PCA and Whitening | + | '''Preprocessing: PCA and Whitening''' |
* [[PCA]] | * [[PCA]] | ||
* [[Whitening]] | * [[Whitening]] | ||
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- | Softmax Regression | + | '''Softmax Regression''' |
* [[Softmax Regression]] | * [[Softmax Regression]] | ||
* [[Exercise:Softmax Regression]] | * [[Exercise:Softmax Regression]] | ||
- | Self-Taught Learning and Unsupervised Feature Learning | + | '''Self-Taught Learning and Unsupervised Feature Learning''' |
* [[Self-Taught Learning]] | * [[Self-Taught Learning]] | ||
* [[Exercise:Self-Taught Learning]] | * [[Exercise:Self-Taught Learning]] | ||
- | Building Deep Networks for Classification | + | '''Building Deep Networks for Classification''' |
* [[Deep Networks: Overview]] | * [[Deep Networks: Overview]] | ||
* [[Stacked Autoencoders]] | * [[Stacked Autoencoders]] | ||
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- | Working with Large Images | + | '''Working with Large Images''' |
* [[Feature extraction using convolution]] | * [[Feature extraction using convolution]] | ||
* [[Pooling]] | * [[Pooling]] |