Implemented mean-pooling, output normalization for BC01 and modified ConvRectifiedLinear to allow to chose the pooling type and specify an output normalization to perform.
Included feedback recieved during pull request. Added tests for output normalization class and modified its docstring, corrected bugs and integrated Sina's code for detector normalization.
removed invalid comment
fixed the right doctring, this time...
Deleted a problematic docstring.
Added a sum in the CrossChannelNormalization docstring.
Merge pull request #172 from carriepl/master

Mean-pooling and Output normalization BC01
Added the sigmoid nonlinearity.
Added the comments for sigmoid and tanh layers.
Merge pull request #178 from caglar/sigmoid

Sigmoid Layer
Merge pull request #180 from goodfeli/master

Add start of DBM demo
Merge branch 'master' of github.com:lisa-lab/pylearn2
refactored bias initialization trick to be its own function
gave Linear a sensible get_monitoring_channels_from_state method
(before it was just a copy paste of Softmax's, which had classification
specific stuff)
implemented cost and monitoring for sigmoid
whitespace
remove bad comments