UFLDL Tutorial
From Ufldl
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* [[Exercise:Sparse Autoencoder]] | * [[Exercise:Sparse Autoencoder]] | ||
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'''Vectorized implementation''' | '''Vectorized implementation''' | ||
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'''Building Deep Networks for Classification''' | '''Building Deep Networks for Classification''' | ||
+ | * [[Self-Taught Learning to Deep Networks | From Self-Taught Learning to Deep Networks]] | ||
* [[Deep Networks: Overview]] | * [[Deep Networks: Overview]] | ||
* [[Stacked Autoencoders]] | * [[Stacked Autoencoders]] | ||
* [[Fine-tuning Stacked AEs]] | * [[Fine-tuning Stacked AEs]] | ||
* [[Exercise: Implement deep networks for digit classification]] | * [[Exercise: Implement deep networks for digit classification]] | ||
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+ | '''Linear Decoders with Autoencoders''' | ||
+ | * [[Linear Decoders]] | ||
+ | * [[Exercise:Learning color features with Sparse Autoencoders]] | ||
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* [[Feature extraction using convolution]] | * [[Feature extraction using convolution]] | ||
* [[Pooling]] | * [[Pooling]] | ||
- | * [[ | + | * [[Exercise:Convolution and Pooling]] |
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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. |
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+ | '''Miscellaneous''' | ||
+ | * [[MATLAB Modules]] | ||
+ | * [[Style Guide]] | ||
+ | * [[Useful Links]] | ||
- | [[ | + | '''Miscellaneous Topics''' |
+ | * [[Data Preprocessing]] | ||
+ | * [[Deriving gradients using the backpropagation idea]] | ||
'''Advanced Topics''': | '''Advanced Topics''': | ||
- | [[ | + | '''Sparse Coding''' |
+ | * [[Sparse Coding]] | ||
+ | * [[Sparse Coding: Autoencoder Interpretation]] | ||
+ | * [[Exercise:Sparse Coding]] | ||
- | [[ | + | '''ICA Style Models''' |
+ | * [[Independent Component Analysis]] | ||
+ | * [[Exercise:Independent Component Analysis]] | ||
- | [[Denoising Autoencoders]] | + | '''Others''' |
+ | * [[Convolutional training]] | ||
+ | * [[Restricted Boltzmann Machines]] | ||
+ | * [[Deep Belief Networks]] | ||
+ | * [[Denoising Autoencoders]] | ||
+ | * [[K-means]] | ||
+ | * [[Spatial pyramids / Multiscale]] | ||
+ | * [[Slow Feature Analysis]] | ||
+ | * [[Tiled Convolution Networks]] | ||
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- | + | Material contributed by: Andrew Ng, Jiquan Ngiam, Chuan Yu Foo, Yifan Mai, Caroline Suen | |
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- | + | {{Languages|UFLDL教程|中文}} |