Variable size transfer functions for rnns.
Model.function did not correctly respect Model.mode
Model.function did not correctly respect Model.mode
Variable input/output sizes for recurrent network transfer functions.
FIX: no positivity constraint for initial hidden
variance of fd runs
FIX: no positivity constraint for initial hidden
variance of fd runs
Conflicts:
	breze/learn/rnn.py
fixed bistorns
removed unnecessary line
removed unnecessary line
fixed sampling and map sampling from bernoulli
pep8 etc
enabling differently sized transfers for storn
Merge branch 'master' into research-adapt-inpt-gate

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Removed automatic initialisation of VAE parameters.

Otherwise it does not work if GPU is used.
Merge branch 'master' of https://github.com/breze-no-salt/breze