UFLDL Tutorial

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* [[Exercise:PCA in 2D]]
* [[Exercise:PCA in 2D]]
* [[Exercise:PCA and Whitening]]
* [[Exercise:PCA and Whitening]]
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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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* [[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'''
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* [[Linear Decoders]]
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* [[Exercise:Learning color features with Sparse Autoencoders]]
'''Working with Large Images'''
'''Working with Large Images'''
* [[Feature extraction using convolution]]
* [[Feature extraction using convolution]]
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* [[Linear Decoders]]
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* [[Pooling]]
* [[Exercise:Convolution and Pooling]]
* [[Exercise:Convolution and Pooling]]
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* [[Pooling]]
 
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* [[Multiple layers of 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''':
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'''Miscellaneous'''
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* [[MATLAB Modules]]
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[[MATLAB Modules]]
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* [[Style Guide]]
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* [[Useful Links]]
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[[Data Preprocessing]]
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[[Style Guide]]
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'''Miscellaneous Topics'''
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* [[Data Preprocessing]]
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* [[Deriving gradients using the backpropagation idea]]
'''Advanced Topics''':
'''Advanced Topics''':
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[[Restricted Boltzmann Machines]]
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'''Sparse Coding'''
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* [[Sparse Coding]]
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* [[Sparse Coding: Autoencoder Interpretation]]
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* [[Exercise:Sparse Coding]]
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[[Deep Belief Networks]]
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'''ICA Style Models'''
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[[Denoising Autoencoders]]
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[[Sparse Coding]]
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[[K-means]]
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[[Spatial pyramids / Multiscale]]
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[[Slow Feature Analysis]]
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ICA Style Models:
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* [[Independent Component Analysis]]
* [[Independent Component Analysis]]
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* [[Topographic Independent Component Analysis]]
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* [[Exercise:Independent Component Analysis]]
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[[Tiled Convolution Networks]]
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'''Others'''
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* [[Convolutional training]]
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* [[Restricted Boltzmann Machines]]
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* [[Deep Belief Networks]]
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* [[Denoising Autoencoders]]
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* [[K-means]]
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* [[Spatial pyramids / Multiscale]]
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* [[Slow Feature Analysis]]
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* [[Tiled Convolution Networks]]
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Material contributed by: Andrew Ng, Jiquan Ngiam, Chuan Yu Foo, Yifan Mai, Caroline Suen
Material contributed by: Andrew Ng, Jiquan Ngiam, Chuan Yu Foo, Yifan Mai, Caroline Suen
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{{Languages|UFLDL教程|中文}}

Latest revision as of 18:22, 7 April 2013

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