UFLDL Recommended Readings

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The basics:  
The basics:  
* [[http://cs294a.stanford.edu CS294A]] neural network/sparse autoencoder tutorial. (Most of this is now in the [[UFLDL Tutorial]], but the exercise is still on the CS294A website.)  
* [[http://cs294a.stanford.edu CS294A]] neural network/sparse autoencoder tutorial. (Most of this is now in the [[UFLDL Tutorial]], but the exercise is still on the CS294A website.)  
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* Natural Image Statistics book, Hyvarinen et al.  This is long, so just skim or skip the chapters that you already know.   
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* [http://www.naturalimagestatistics.net/] Natural Image Statistics book, Hyvarinen et al.   
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** This is long, so just skim or skip the chapters that you already know.   
** Important chapters: 5 (PCA and whitening; you'll probably already know the PCA stuff), 6 (sparse coding), 7 (ICA), 10 (ISA), 11 (TICA), 16 (temporal models).   
** Important chapters: 5 (PCA and whitening; you'll probably already know the PCA stuff), 6 (sparse coding), 7 (ICA), 10 (ISA), 11 (TICA), 16 (temporal models).   
* [http://redwood.psych.cornell.edu/papers/olshausen_field_nature_1996.pdf] Olshausen and Field. Emergence of simple-cell receptive field properties by learning a sparse code for natural images Nature 1996. (Sparse Coding)
* [http://redwood.psych.cornell.edu/papers/olshausen_field_nature_1996.pdf] Olshausen and Field. Emergence of simple-cell receptive field properties by learning a sparse code for natural images Nature 1996. (Sparse Coding)

Revision as of 02:42, 1 March 2011

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