In-memory every-epoch image transformations.
Correctly handle case of passing an actual RandomState.
Fixed the weight decay doc.
Added items keyword to preprocessing pipeline.
Changed the default val of items to None.
Merge pull request #163 from caglar/fix_pipeline

Added items keyword to preprocessing pipeline.
Fixed the comment in the Weight decay class.
Fixed the typo.
Merge pull request #164 from goodfeli/master

added seed to MLP
Merge pull request #166 from goodfeli/master

Fix URL in doc
Merge pull request #167 from goodfeli/master

Removed outdated comment
Merge pull request #168 from goodfeli/master

Local response normalization
Merge pull request #162 from caglar/fix_wd_doc

Fixed the weight decay doc.
Update setup.py: add missing files and add dependency.
Merge pull request #169 from nouiz/setup

Update setup.py: add missing files and add dependency.
install also *.h files.
Added the L1 penalty on weights.
Refactored mlp.py
Renamed the l1 penalty class and function names.
SoftmaxPool.max_col_norms