Remove training capabilities from out of scope (shortly: add training capabilities to scope :-) )

DanielMazurkiewicz commented 5 years ago

Back-propagation is a fairy simple training algorithm and if provided only for basic operation blocks ("core1" domain as I mentioned in phasing issue ) then it shouldn't require significant effort to implement and test it on vendors site.

Benefits seems sort of obvious, but lets briefly list what comes to my mind quickly:

lower entrance barrier to ML world for JS developers (just enough to get familiar with API and they could quickly jump on into ML)
easier phasing and quicker standard shipment - no need to cover all possible operation blocks from different ML environments, enough is just a small basic subset of blocks
possibility to train or adjust NNs "on the fly", for example in gaming industry

anssiko commented 5 years ago

Thanks for your input @DanielMazurkiewicz. Since there's an existing charter issue #3 to discuss training capabilities, I'd suggest you add your comment there to avoid forking the discussion over multiple issues to make it easier to follow and contribute. Thanks!

DanielMazurkiewicz commented 5 years ago

Ok, moving to: https://github.com/webmachinelearning/charter/issues/3

webmachinelearning / charter

Remove training capabilities from out of scope (shortly: add training capabilities to scope :-) ) #6