initial repository commit. have implicit conv. matrix libriares setup.
and removed the .pyc.
work on master script.
working on one data set.
real convolutions only
testing large data
pretty slow.
working to parallelize.
skoExMP - multiprocessing examples from stackExchange
testeMultiP - more multiprocessing work
it seems that naiive multiprocessing is substantially faster.
not sure if "memory is copying" or not for parallel.
switched par.
and any faster?
and restrict pool size.
mpi slow things down?
remove plotting.
remove more plotting.
and more timing.
out of imap.
do something preposterous! go for broke.
and a last change.
remove some things. add some others.
added a fourier free version -- convNetPrime.
ooh. oh boy. have validation sets.
the updateWeights was all wrong
now its better/fixed.
wrote my own CG routing as well. it gives more info.
and now everything is merged.
oh right. can't expect to load all that.