UFLDL Recommended Readings
From Ufldl
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The basics: | The basics: | ||
| - | * [[http://cs294a.stanford.edu CS294A]] | + | * [[http://cs294a.stanford.edu CS294A]] Neural Networks/Sparse Autoencoder Tutorial. (Most of this is now in the [[UFLDL Tutorial]], but the exercise is still on the CS294A website.) |
* [http://www.naturalimagestatistics.net/] Natural Image Statistics book, Hyvarinen et al. | * [http://www.naturalimagestatistics.net/] Natural Image Statistics book, Hyvarinen et al. | ||
** This is long, so just skim or skip the chapters that you already know. | ** This is long, so just skim or skip the chapters that you already know. | ||
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Overview | Overview | ||
| - | * [http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf] Yoshua Bengio. Learning Deep Architectures for AI. FTML 2009. (Broad landscape description of the field, but technical details there are hard to follow so ignore that. This is also easier to read after you've gone over some of literature of the field.) | + | * [http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf] Yoshua Bengio. Learning Deep Architectures for AI. FTML 2009. |
| + | ** (Broad landscape description of the field, but technical details there are hard to follow so ignore that. This is also easier to read after you've gone over some of literature of the field.) | ||
