exploring...is sampling working well?
Everything seems in order
rectifiers explode during sampling because they are unbounded
tanh, 2000/2000 network with large learning rate has converging chains
pre and post activation noise addition
option for noise scaling
Saves params, no valid
option for scaled noise
rerunning exps...should give similar samples...i hope
Same results by putting back the valid loop (model quality should be roughly the same though, only
some random numbers change during the process....)