baseline rntn in there, need to clean up a lot and refactor, also need to add adagrad, multithreading and some other improvements
baseline rntn in there, need to clean up a lot and refactor, also need to add adagrad, multithreading and some other improvements
baseline rntn in there, need to clean up a lot and refactor, also need to add adagrad, multithreading and some other improvements
add more proper attribution explaining implementation
added adagrad to rntn
missed sigma initialization for gaussian visible units
ensure small variance wrt standard deviations
quit moving data around; replicate with state tracker and only send signals; also handle eventually consistent storage issues with an expoential back off
switched off of message passing for data now, switched over to state tracker which will handle workers
forgot to update the examples back
added more customizable drawing on mnist
preformance improvements, crbm fixes
sigmoid added
flow for data is now much more effcicient, the task tracker based impl has also been migrated to
mis reporting of number of workers progress on master
put and get on 4d tensor
added set slice/tensor for 4d tensor
updates no longer have to be in memory, this should cut down on RAM usage a lot
added some sanity checks on the updates
add sanity check (silly parallelism) to the worker actor such that it doesnt try to replicate a null network